About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role Introduction: We are seeking a talented and driven MDM (Master Data Management) Lead with 8+ years of hands-on experience in managing and working with Pharma MDM systems, such as Reltio or Informatica MDM. The ideal candidate will have a strong background in MDM processes, data governance, and quality assurance, with a good understanding of the pharmaceutical industry’s data landscape (e.g., product data, clinical trial data, customer/HCP data). As an MDM Lead, you will be responsible for supporting the design, implementation, migration and maintenance of MDM solutions that help manage critical business data across the organization. Your role will be pivotal in ensuring data quality, consistency, and accessibility, which will aid in critical decision-making processes across multiple business units. Key Responsibilities MDM Design & Delivery: Lead the design, implementation, migration and maintenance of MDM solutions, primarily focusing on systems such as Reltio and Informatica MDM. Oversee data integration, profiling, and cleansing processes to ensure high-quality, consistent data across the enterprise. Ensure the scalability and performance of MDM systems Lead and mentor a team of MDM analysts and specialists, coordinating team efforts to deliver MDM projects and initiatives. Work closely with cross-functional teams to gather and understand business requirements for MDM solutions and ensure alignment with data governance and data management strategies. Data Governance and Quality Assurance: Help define and implement data governance processes and best practices to manage data integrity, security, and quality across the enterprise. Monitor and enforce data quality standards, ensuring data is accurate, complete, and up-to-date in MDM systems leveraging standard rules and GenAI based techniques for anomaly detections. Perform data validation and reconciliation to ensure alignment between MDM systems and operational databases. Master Data Creation and Maintenance: Lead the creation and maintenance of master data records in MDM systems, ensuring that master data attributes are accurate and standardized. Develop and maintain MDM taxonomy, hierarchies, and reference data for HCP, HCO, and commercial pharma datasets. Implement data cleansing and standardization processes Coordinate with business stakeholders to resolve any discrepancies or issues related to master data. Data Integration & Mapping: Oversee the integration of data from various sources, including legacy systems, external data sources, and other enterprise applications, into the MDM platform. Develop data mapping, transformation, and enrichment processes to ensure data consistency across different systems. MDM Process Improvement: Identify and recommend opportunities for process improvement related to data management, data quality, and data integration. Work on optimizing MDM workflows and processes to increase efficiency and reduce operational costs. Collaboration with Cross-functional Teams: Collaborate with business stakeholders, IT teams, and external vendors to understand data requirements, system integrations, and MDM strategies. Provide support for troubleshooting and resolving data-related issues raised by users or systems. Pharmaceutical Data Expertise (Preferred): Bring valuable insights into managing pharmaceutical-specific data, including drug information, regulatory data, clinical trials data, and sales data from sources like OneKey, IQVIA, Symphony, Komodo and other providers. Understand the challenges and requirements for pharmaceutical data management, especially in relation to regulatory compliance, data privacy, and industry-specific data standards. Required Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. 8+ years of professional experience working with Master Data Management (MDM) systems, such as Reltio, Informatica MDM, or similar platforms managing entities, relationships, attributes, rules, merges, and workflows. Strong understanding of data integration, transformation, and data quality concepts. Familiarity with data governance principles, including data stewardship, data privacy, and compliance regulations (e.g., GDPR, HIPPA). Proficient in SQL and data query languages for data extraction, manipulation, and reporting. Hands-on experience with data mapping, data validation, and data cleansing tools. Strong problem-solving skills and the ability to analyze and address complex data issues. Excellent communication skills to interact with cross-functional teams and stakeholders. Preferred Qualifications Experience working with pharmaceutical data (e.g., drug master data, HCP/Customer 360, clinical data, sales data) and understanding of industry-specific data requirements. Experience migrating across MDM platforms (e.g. Informatica to Reltio) is highly desirable. Experience with data modeling, data architecture, and cloud-based MDM solutions. Familiarity with ETL tools, python scripting, data visualization tools, and reporting platforms. Knowledge of data management best practices, methodologies (e.g., Agile), and project management techniques. Key Skills MDM Platforms (Reltio Connected Data Platform, Informatica MDM HUB/Data ) Data Integration & Transformation Data Governance & Quality Assurance Python scripting SQL & Data Querying Data Mapping & Cleansing Pharmaceutical Data Knowledge (preferred) Analytical Thinking & Problem-Solving Communication & Collaboration Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: data integration & mapping,sql & data querying,etl tools,mdm processes,hco,iqvia,mdm taxonomy,data mapping & cleansing,data integration,informatica mdm hub,mdm platforms (reltio, informatica mdm),data integration & transformation,pharmaceutical data knowledge,reltio connected data platform,python scripting,analytical thinking & problem-solving,hcp,data governance & quality assurance,onekey,sql,communication & collaboration Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated and experienced Lead, Veeva Commercial Platform to lead the Veeva Implementation, optimization and support portfolio for our clients. In this role, you will be responsible for the ongoing success of our Veeva Commercial Cloud projects, optimizing commercial performance for our clients. You will leverage your deep understanding of the Veeva Commerical ecosystem (CRM, ALIGN, VAULT, promomats, MyInsights/x-pages, etc.) to enable our clients drive key business decisions and positive commercial outcomes. Key Responsibilities Lead Veeva Implementation and Enhancements: Oversee the implementation and ongoing enhancements of Veeva Commercial Cloud solutions (CRM, ALIGN, VAULT, promomats, MyInsights/x-pages, etc.), including requirements gathering, system configuration, testing, training, and go-live support. Solution Design and Configuration: Collaborate with business stakeholders to understand their needs and translate them into effective Veeva solutions. Configure, integrate and customize Veeva applications to meet specific business requirements. Project Management: Manage Veeva-related projects, ensuring on-time and within-budget delivery. Develop project plans, track progress, and communicate effectively with stakeholders. Business Process Optimization: Analyze existing commercial processes and identify opportunities for improvement leveraging Veeva functionalities. Streamline processes and maximize efficiency through automation and best practices. User Training and Support: Develop and deliver training programs for Veeva users. Provide ongoing support and troubleshooting assistance to ensure user adoption and satisfaction. Vendor Management: Manage the relationship with Veeva, including contract negotiations, support requests, and escalations. Stay Up-to-Date: Keep abreast of the latest Veeva product releases, features, and best practices. Proactively identify opportunities to leverage new functionalities to improve business performance. Data Management and Reporting: Ensure data integrity within Veeva systems. Develop and maintain reports and dashboards to provide insights into commercial performance. Collaboration and Communication: Effectively communicate with business stakeholders, IT teams, and Veeva representatives. Build strong relationships and foster a collaborative environment. Compliance and Security: Adhere to all relevant compliance and security regulations related to Veeva systems and data. Qualifications Bachelor’s or master’s degree in a quantitative field such as computer science, statistics or mathematics. 7+ years of experience in a Pharma Commercial setting, focusing on omni-channel customer engagement, Field focused solutions, marketing, CRM, content management and digital channels. Deep understanding, both implementation and architecture, across data, UI, APIs, workflows of the Veeva products including Veeva CRM, ALIGN, VAULT, MyInsights/x-pages, PromoMats, Medical, Network, etc. Certifications in Veeva CRM, Veeva Network, and related Salesforce modules is highly desirable. Experience with Salesforce.com, Apex, Lighting UI, and Visualforce and integration with wider enterprise ERP, CMS, and HRIS systems. General proficiency in programming languages such as Java or Python; experience with data management (SQL, MDM, etc.) and visualization tools like Tableau, PowerBI, etc. Proven project management skills, including experience managing complex projects, senior client stakeholders and cross-functional teams. Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Veeva projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: salesforce.com,vault,project management,visualforce,apex,promomats,java,u.s. health insurance portability and accountability act (hipaa),sql,veevacomercialplatofrm,tableau,veeva,data management,lighting ui,python,powerbi,mdm,veeva crm,myinsights/x-pages,align Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE ! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated and self-driven Associate Consultant to join our Advanced Analytics & Insights team. In this role, you will be a key contributor, creating and driving impactful analytics solutions that optimize commercial performance for our life sciences clients. You will leverage your strong analytical mindset and skills to deliver actionable insights, solve complex business problems, and apply advanced analytical techniques, including modeling and simulation, to inform key business decisions and drive positive commercial outcomes. You will also have the opportunity to mentor and train junior team members. Key Responsibilities Client Engagement & Needs Assessment: Collaborate closely with clients and internal team to understand client business problems and translate them into specific analytical questions. Develop tailored research plans and analytical approaches to address these needs effectively. Data Analysis & Insight Generation: Apply advanced statistical modeling techniques to analyze data and uncover actionable insights that drive client decision-making. Design and implement custom analyses and models using a variety of tools, including Python, R, Tableau, SAS, Visual Basic, and Excel. Solution Development & Implementation: Design and lead the development of complex analytics solutions, including machine learning and predictive modeling engagements. Ensure seamless implementation of these solutions to achieve client objectives. Communication & Presentation: Effectively communicate analytical findings and recommendations to clients and internal teams through clear and concise presentations and reports. Project Management & Client Relationship Management: Manage project timelines, deliverables, and budgets. Build and maintain strong client relationships, serving as a trusted advisor on analytics matters. Mentorship & Team Leadership: Provide guidance and mentorship to junior team members, fostering a collaborative and supportive team environment. Strategic Initiatives: Contribute to internal strategic initiatives, such as capability development and knowledge sharing. Qualifications Education: Bachelor's or Master's degree in a quantitative field (e.g., Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, Engineering). A strong record of academic success in relevant coursework is required. Experience: 2-4 years of relevant post-collegiate job experience. Technical Skills: Proficiency in statistical software (e.g., SAS, R). Strong programming skills (e.g., Python, Visual Basic). Expertise in data visualization tools (e.g., Tableau, Power BI). Advanced Excel skills. Experience with machine learning and predictive modeling. Personal Skills: Strong analytical and problem-solving skills. Excellent communication skills (written and verbal). Client service orientation. Ability to work effectively in a team environment and be flexible to upskill and grow in a startup. Self-motivated and results-oriented. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge analytics, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: r,data visualization,tableau,machine learning,python,advance excel,sas,data analysis,statistical modeling,visual basic,power bi,excel,predictive modeling Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated and self-starting Advanced Analytics & Insights Associate to join our growing team. In this role, you will be a key contributor to creating and delivering impactful solutions that optimize commercial performance for our life sciences clients. You will leverage your strong analytical mindset and skills to drive insights, solve complex business problems, and apply advanced analytical techniques, including modeling and simulation, to inform key business decisions and achieve positive commercial outcomes. This is a fantastic opportunity to make a tangible impact in the life sciences industry. Key Responsibilities Within the context of the projects you work on you will have the following responsibilities Advanced Analytics: Develop sophisticated statistical models that relate marketing or sales activities to financial results using tools such as SAS, Python, R, and MS Excel. Simulation & Forecasting: Simulate the impact of a client's future marketing or sales activities on their real-world results, and develop predictive models using the latest machine learning algorithms. Data Engineering & Tool Development: Design custom analysis tools in applications such as Visual Basic, MS Excel, Python/R, and MS Access. Write efficient and complex SQL queries to extract, analyze, and manipulate data (including joins, subqueries, and aggregate functions). Data Visualization & Reporting: Build interactive dashboards and personalized insights in visualization tools like Tableau and Power BI, leveraging the latest technologies such as Tableau Pulse and Tableau Agents. Communication & Collaboration: Synthesize and clearly communicate complex analytical results to clients and internal teams. Collaborate effectively with client and project teams to implement solutions. Project Ownership & Initiative: Take ownership of project deliverables from day one and proactively seek opportunities to advance your analytical and problem-solving skills. Mentor and train other team members. Process Improvement: Maximize the efficiency of analytical solutions through automation and best practices. Qualifications Education: Bachelor's degree in Engineering, MIS, Operations Management, Statistics, Mathematics, Economics, or other relevant quantitative field. Academic Excellence: Demonstrated record of academic success. Technical Skills: Proficiency in statistical software (e.g., SAS, Python, R). Strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Advanced Excel skills (including VBA). Experience with machine learning algorithms is a plus. Personal Skills: Strong work ethic and proactive approach. Excellent problem-solving skills (both structured and unstructured). Strong attention to detail and focus on quality. Excellent organizational and time management skills. Strong communication and business acumen. Adaptability and willingness to learn in a fast-paced startup environment. Client service orientation. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge analytics, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth.SA Skills: sas,tableau,python,vba,data engineering,ms excel,machine learning,power bi,sql,data visualization,r Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role Introduction: We are seeking a talented and driven MDM (Master Data Management) Analyst with 3-4 years of hands-on experience in managing and working with MDM systems, such as Reltio or Informatica MDM. The ideal candidate will have a strong background in MDM processes, data governance, and quality assurance, with a preferred understanding of the pharmaceutical industry’s data landscape. As an MDM Analyst, you will be responsible for supporting the design, implementation, and maintenance of MDM solutions that help manage critical business data across the organization. Your role will be pivotal in ensuring data quality, consistency, and accessibility, which will aid in critical decision-making processes across multiple business units. Key Responsibilities MDM System Management & Support: Support the design, implementation, and maintenance of MDM solutions, primarily focusing on systems such as Reltio and Informatica MDM. Assist in data integration, profiling, and cleansing processes to ensure high-quality, consistent data across the enterprise. Work closely with cross-functional teams to gather and understand business requirements for MDM solutions and ensure alignment with data governance and data management strategies. Data Governance and Quality Assurance: Help define and implement data governance processes and best practices to manage data integrity, security, and quality across the enterprise. Monitor and enforce data quality standards, ensuring data is accurate, complete, and up-to-date in MDM systems. Perform data validation and reconciliation to ensure alignment between MDM systems and operational databases. Master Data Creation and Maintenance: Support the creation and maintenance of master data records in MDM systems, ensuring that master data attributes are accurate and standardized. Coordinate with business stakeholders to resolve any discrepancies or issues related to master data. Data Integration & Mapping: Assist in integrating data from various sources, including legacy systems, external data sources, and other enterprise applications, into the MDM platform. Support data mapping, transformation, and enrichment processes to ensure data consistency across different systems. MDM Process Improvement: Identify and recommend opportunities for process improvement related to data management, data quality, and data integration. Work on optimizing MDM workflows and processes to increase efficiency and reduce operational costs. Collaboration with Cross-functional Teams: Collaborate with business stakeholders, IT teams, and external vendors to understand data requirements, system integrations, and MDM strategies. Provide support for troubleshooting and resolving data-related issues raised by users or systems. Pharmaceutical Data Expertise (Preferred): Bring valuable insights into managing pharmaceutical-specific data, including drug information, regulatory data, clinical trials data, and sales data. Understand the challenges and requirements for pharmaceutical data management, especially in relation to regulatory compliance, data privacy, and industry-specific data standards. Required Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. 3-4 years of professional experience working with Master Data Management (MDM) systems, such as Reltio, Informatica MDM, or similar platforms. Strong understanding of data integration, transformation, and data quality concepts. Familiarity with data governance principles, including data stewardship, data privacy, and compliance regulations (e.g., GDPR). Proficient in SQL and data query languages for data extraction, manipulation, and reporting. Hands-on experience with data mapping, data validation, and data cleansing tools. Strong problem-solving skills and the ability to analyze and address complex data issues. Excellent communication skills to interact with cross-functional teams and stakeholders. Preferred Qualifications Experience working with pharmaceutical data (e.g., drug master data, clinical data, sales data) and understanding of industry-specific data requirements. Experience with data modeling, data architecture, and cloud-based MDM solutions. Familiarity with ETL tools, data visualization tools, and reporting platforms. Knowledge of data management best practices, methodologies (e.g., Agile), and project management techniques. Key Skills MDM Platforms (Reltio, Informatica MDM) Data Integration & Transformation Data Governance & Quality Assurance SQL & Data Querying Data Mapping & Cleansing Pharmaceutical Data Knowledge (preferred) Analytical Thinking & Problem-Solving Communication & Collaboration Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: data querying,sql,data integration,data quality,informatica mdm,data mapping & cleansing,sql & data querying,reltio,mdm platforms (reltio, informatica mdm),communication & collaboration,pharmaceutical data knowledge (preferred),data management,mdm,data integration & transformation,data governance & quality assurance,analytical thinking & problem-solving Show more Show less

About Improzo At Imrozo (Improve + Zoe; meaning Life in Greek), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused for delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE ! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated and experienced Director of Life Science Commercial Data Analytics to lead our data analytics initiatives. In this role, you will be responsible for developing and implementing innovative data-driven strategies to optimize commercial performance across the entire LS product lifecycle. You will leverage advanced analytics techniques, including machine learning and artificial intelligence, to extract actionable insights from complex datasets and drive key business decisions. Key Responsibilities Lead the development and execution of the commercial data analytics strategy and solution development for our customers, aligning with the overall business objectives. Manage analytics projects from inception to completion, ensuring timely delivery of high-quality outputs. Collaborate with stakeholders to define project objectives and deliverables. Oversee the design, development, and implementation of advanced analytics solutions and algorithms, including predictive modelling across the customer engagement value chain. Lead a team of analysts, providing guidance and mentorship. Ensure that team members are equipped with the necessary tools and knowledge to perform their tasks effectively. Develop and maintain a robust data infrastructure, ensuring data quality, accuracy, and accessibility. Utilize statistical techniques such as regression analysis, machine learning, and predictive modelling to derive insights from complex datasets. Stay abreast of the latest advancements in data science and technology, identifying new opportunities to leverage data to improve business performance. Qualifications Bachelors or Master's degree in a quantitative field such as computer science, statistics or mathematics. 8+ years of experience in a data-driven role, with a strong understanding of the life sciences and bio-pharma industry. Comfortable with commercial dataset: Sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc. Proven experience leading and managing high-performing analytics teams of 10-20, delivering projects across commercial analytics (Product Launch, Segmentation, Brand Management, Salesforce optimization, Reporting and Dashboards, etc.). Strong understanding of data warehousing, data mining, and data visualization tools. Expertise in advanced analytics techniques, including machine learning, artificial intelligence, and predictive modelling. Proficiency in programming languages such as R or Python; familiarity with SQL for database management; experience with data visualization tools like Tableau, PowerBI, etc., understanding of statistical modelling techniques. Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud. Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: r,data mining,tableau,sql,aws,database,data warehousing,powerbi,cloud-based data platforms,data analytics,azure,data visualization,data-driven strategies,commercial data analytics,google cloud,machine learning,python,artificial intelligence,predictive modeling Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE ! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated and experienced Consultant to join our Advanced Analytics & Insights team. In this role, you will deliver high-quality, impactful solutions for our life sciences clients, driving commercial success through your strong analytical mindset and unstructured problem-solving skills. As a Consultant, you will manage multiple engagements concurrently, play a key role in developing a high-performing analytics team, and collaborate closely with leadership to grow the practice area. Key Responsibilities Project Leadership & Execution: Collaborate with project leadership to define project scope and develop effective approaches. Lead project task execution, working closely with team members to ensure progress and high-quality deliverables. Solution Design & Implementation: Design and plan the implementation of innovative analytical solutions. Conduct thorough issue analysis, develop hypotheses regarding key client challenges, and design robust analyses to test these hypotheses. Quality Assurance & Solution Excellence: Ensure the highest quality of output through rigorous solution design, implementation, and quality assurance practices. Insight Generation & Communication: Synthesize findings, develop actionable recommendations, and effectively communicate results to clients and internal teams through compelling presentations and reports. Thought Leadership & Practice Development: Provide thought leadership and innovation within projects and practice areas. Contribute significantly to the development and growth of the practice area. Business Development & Internal Contributions: Participate in business development activities and contribute to internal firm initiatives. Mentorship & Team Development: Coach and mentor junior team members, fostering their professional growth and development. Qualifications Education: MBA with a Bachelor's (and often Graduate) degree in Business, Economics, Marketing, Psychology, Physical or Life Sciences, Engineering, Applied Mathematics, Statistics, or related fields. Alternatively, a Ph.D. in Marketing, Economics, Decision Sciences, or a related field with a business application is acceptable. In lieu of an MBA or Ph.D., 5-8 years of relevant work experience may be substituted. Experience: Up to 3 years of post-MBA relevant work experience and 3-5 years of pre-MBA work experience. Experience in Commercial Analytics within the Pharmaceutical industry is preferred. Technical Skills: Strong working knowledge of analytics tools such as Python, R, SAS, Advanced Excel, and VBA. Strong working knowledge of SQL and database technologies. Strong understanding of data visualization tools such as Tableau and Power BI. Personal Skills: High motivation, strong work ethic, maturity, and personal initiative. Aptitude for and enjoyment of leading and managing teams. Excellent oral and written communication skills, enabling effective interaction with senior-level decision-makers. Strong attention to detail and a quality-focused mindset. Analytical problem-solving skills with a creative and innovative outlook. Client service orientation. Other: Willingness to upskill and be flexible to achieve 100% quality delivery in a startup environment. Benefits Competitive salary and benefits package. Opportunity to work on innovative analytics projects, building teams and practice areas, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: sas,tableau,python,database,vba,advanced excel,power bi,advance excel,sql,microsoft power bi,r Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly skilled Data and Reporting Developer (Improzo Level - Associate) to join our dynamic team. As a Big Data Developer, you will be responsible for designing, developing, and maintaining large-scale data processing systems using big data technologies. This is an exciting opportunity for a talented individual with a strong technical background and a passion for working with large datasets to deliver high-quality solutions. Key Responsibilities Big Data Application Development: Design, develop, and maintain scalable data pipelines and big data applications. Work with distributed processing frameworks (e.g., Apache Hadoop, Apache Spark) to process and analyze large datasets. Write optimized and high-performance code to handle data ingestion, processing, and analysis in real-time or batch processing environments. Data Architecture: Collaborate with data architects and other stakeholders to design and implement data storage solutions using HDFS, NoSQL databases (e.g., Cassandra, HBase, MongoDB), and cloud data platforms (e.g., AWS, Azure, Google Cloud). Develop and maintain ETL pipelines for data extraction, transformation, and loading (ETL) using ETL tools or Databricks Work with data lakes and data warehousing solutions for large-scale data storage and processing. Data Integration: Integrate various data sources into the big data ecosystem (e.g., data from relational databases, APIs, third-party tools, IoT devices). Ensure seamless data flow between systems while maintaining data quality and integrity. Reporting Development: Design and Build reports on tools like Power BI, Tableau, Microstrategy Design basic UI / UX as per client needs Performance Optimization: Optimize big data workflows and queries to ensure high performance and scalability. Implement data partitioning, indexing, and other techniques to handle large datasets efficiently. Collaboration and Communication: Collaborate with cross-functional teams (data scientists, analysts, engineers, etc.) to understand business requirements and deliver data solutions that meet those needs. Communicate complex technical concepts and data insights clearly to non-technical stakeholders. Testing and Quality Assurance: Perform unit testing and troubleshooting of data pipelines to ensure data consistency and integrity. Implement data validation and error-checking mechanisms to maintain high-quality data. Documentation: Maintain clear documentation of data pipelines, architecture, and workflows for ease of understanding, modification, and scaling. Agile Methodology: Participate in agile development processes, including sprint planning, daily stand-ups, and code reviews. Innovation and Research: Stay up-to-date with the latest trends and advancements in big data technologies and techniques. Continuously evaluate new tools, frameworks, and technologies to improve performance and capabilities. Qualifications Bachelor’s or master’s degree in a quantitative field such as computer science, statistics or mathematics. 1.5+ years of experience on data management or reporting projects involving big data technologies Hands on experience or thorough training on technologies like AWS, Azure, GCP, Databricks, Spark. Experience in a Pharma Commercial setting or Pharma data management will be an added advantage General proficiency in programming languages such Python; experience with data management (SQL, MDM, etc.) and visualization tools like Tableau, PowerBI, etc. Excellent communication, presentation, and interpersonal skills. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: hdfs,sql,tableau,python,nosql databases,big data technologies,azure,microstrategy,mongodb,google cloud,data architecture,hbase,performance optimization,apache spark,cloud data platforms,power bi,apache hadoop,big data application development,documentation,etl pipelines,agile methodology,aws,data warehousing,data lakes,data integration,databricks,gcp,mdm,cassandra,powerbi Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a Data and Reporting Module Lead (Associate Consultant Level) with 4+ years of experience to join our growing team. In this role, you will oversee the development, implementation, and management of data and reporting solutions across the organization. You will work closely with cross-functional teams, including business analysts, data engineers, and stakeholders in the pharma domain to deliver accurate, timely, and actionable reporting solutions. Pharma industry experience will be highly valued. Key Responsibilities Leadership and Strategy: Lead the development and execution of data and reporting strategies, ensuring alignment with organizational goals and stakeholder requirements. Manage the data reporting module, ensuring consistent, high-quality, and accurate reporting solutions are delivered. Collaborate with key business stakeholders (including business analysts, department heads, and management) to understand business requirements and translate them into effective data solutions. Data Management: Oversee the collection, integration, and validation of data from various sources (internal and external systems, databases, and third-party platforms) for reporting purposes. Design, implement, and maintain data pipelines to ensure smooth, reliable data flow and processing on AWS, Azure, Databricks etc. Work with data engineers and IT teams to ensure data quality, consistency, and integrity across reporting solutions. Reporting Solution Design: Lead the design and development of complex reports and dashboards using tools such as Power BI, Tableau, or SQL to provide actionable insights to business users. Develop reporting templates and modular structures that can be reused across different business units, improving reporting efficiency. Ensure reports and dashboards are tailored to meet the specific needs of different departments, including sales, finance, operations, and R&D in the pharma domain. Data Analytics: Perform data analysis and identify trends, patterns, and insights from the data to guide decision-making within the organization. Create ad-hoc reports and analysis as required by senior management, providing insights that support strategic initiatives and business objectives. Leverage advanced analytics to create predictive models, forecasts, and performance metrics for key pharma business functions. Project Management: Manage the entire lifecycle of data and reporting projects from requirements gathering to delivery and support. Ensure that projects are completed on time, within scope, and meet business requirements. Coordinate with cross-functional teams to ensure timely delivery of high-quality reporting solutions. Collaboration and Communication: Work closely with various departments (e.g., IT, operations, finance, and marketing) to ensure alignment between reporting needs and data solutions. Communicate complex data insights in a clear and actionable manner to non-technical stakeholders, translating data findings into business-friendly language. Provide training and support to end-users on how to effectively use reports and dashboards. Conduct client meetings, provide basic status updates and engage with junior level clients as needed Continuous Improvement: Identify areas for improvement in reporting processes, including automation opportunities, and implement best practices to enhance reporting accuracy and efficiency. Stay up-to-date with industry trends, new technologies, and advancements in reporting tools and techniques, particularly in the pharma sector. Compliance and Governance: Ensure that all data and reporting processes adhere to regulatory standards, including data privacy and security requirements specific to the pharmaceutical industry. Work with compliance teams to ensure that data governance and reporting standards are maintained and updated. Qualifications Bachelor’s or master’s degree in a quantitative field such as computer science, statistics or mathematics. 4+ years of experience on data management or reporting projects involving big data technologies Hands on experience or thorough training on technologies like AWS, Azure, GCP, Databricks, Spark. Experience in designing and building data pipelines Familiarity with data modeling, data warehousing and data lake architecture Understanding of pharma-specific data regulations (e.g., HIPAA, GxP, 21 CFR Part 11) is highly preferred, but not mandatory Experience in a Pharma Commercial setting or Pharma data management will be an added advantage General proficiency in programming languages such Python; experience with data management (SQL, MDM, etc.) and visualization tools like Tableau, PowerBI, etc. Strong Analytical skills with focus on data driven decision making Excellent communication, presentation, and interpersonal skills. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Ability to lead a small team of developers, data engineers and reporting experts (2-3 people team) Familiarity with advanced analytics, AI ML is preferred, but not mandatory Certifications on AWS, Azure, Databricks, GCP, Power Platform etc. are highly desirable. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: python,mdm,project management,azure,data warehousing,data lake architecture,21 cfr part 11,windows azure,gxp,hipaa,sql,big data technologies,reporting solutions,data analytics,data modeling,aws,tableau,aws,,databricks,data management,power bi Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE ! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role Introduction: We are seeking an experienced and highly skilled Data Architect to lead a strategic project focused on Pharma Commercial Data Management Operations. This role demands a professional with 7-9 years of experience in data architecture, data management, ETL, data transformation, and governance, with an emphasis on providing scalable and secure data solutions for the pharmaceutical sector. The ideal candidate will bring a deep understanding of data architecture principles, experience with cloud platforms such as Snowflake, and a solid background in driving commercial data management projects. If you're passionate about leading impactful data initiatives, optimizing data workflows, and supporting the pharmaceutical industry's data needs, we invite you to apply. Responsibilities Key Responsibilities: Lead Data Architecture and Strategy: Design, develop, and implement the overall data architecture for commercial data management operations within the pharmaceutical business. Lead the design and operations of scalable and secure data systems that meet the specific needs of the pharma commercial team, including marketing, sales, and operations. Define and implement best practices for data architecture, ensuring alignment with business goals and technical requirements. Develop a strategic data roadmap for efficient data management and integration across multiple platforms and systems. Data Integration, ETL & Transformation: Oversee the ETL (Extract, Transform, Load) processes to ensure seamless integration and transformation of data from multiple sources, including commercial, sales, marketing, and regulatory databases. Collaborate with data engineers and developers to design efficient and automated data pipelines for processing large volumes of data. Lead efforts to optimize data workflows and improve data transformation processes to enhance reporting and analytics capabilities. Data Governance & Quality Assurance: Implement and enforce data governance standards across the data management ecosystem, ensuring the consistency, accuracy, and integrity of commercial data. Develop and maintain policies for data stewardship, data security, and compliance with industry regulations, such as HIPAA, GDPR, and other pharma-specific compliance requirements. Work closely with business stakeholders to ensure the proper definition of master data and reference data standards. Cloud Platform Expertise (Snowflake (critical to have), AWS, Azure): Lead the adoption and utilization of cloud-based data platforms, particularly Snowflake, to support data warehousing, analytics, and business intelligence needs. Collaborate with cloud infrastructure teams to ensure efficient management of data storage, compute resources, and performance optimization within cloud environments. Stay up-to-date with the latest cloud technologies, such as Snowflake, AWS, Azure, or Google Cloud (optional)), and evaluate opportunities for incorporating them into data architectures. Collaboration with Cross-functional Teams: Work closely with business leaders in commercial operations, analytics, and IT teams to understand their data needs and provide strategic data solutions that enhance business operations. Collaborate with data scientists, analysts, and business intelligence teams to ensure data is available for reporting, analysis, and decision-making. Facilitate communication between IT, business stakeholders, and external vendors to ensure data architecture solutions align with business requirements. Continuous Improvement & Innovation: Drive continuous improvement efforts to optimize data pipelines, data storage, and analytics workflows. Identify opportunities to improve data quality, streamline processes, and enhance the efficiency of data management operations. Advocate for the adoption of new data management technologies, tools, and methodologies to improve data processing, security, and integration. Leadership and Mentorship: Lead and mentor a team of data engineers, analysts, and other technical resources, fostering a collaborative and innovative work environment. Provide leadership in setting clear goals, performance metrics, and expectations for the team. Offer guidance on data architecture best practices, ensuring all team members are aligned with the organization’s data strategy. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. 7-9 years of experience in data architecture, data management, and data governance, with a proven track record of leading commercial data management operations projects. Extensive experience in data integration, ETL, and data transformation processes, including familiarity with tools like Informatica, Talend, or Apache NiFi. Strong expertise with cloud platforms, particularly Snowflake, AWS, Azure, or Google Cloud. Strong knowledge of data governance frameworks, including data security, privacy regulations, and compliance standards in the pharmaceutical industry (e.g., HIPAA, GDPR). Hands-on experience in designing scalable and efficient data architecture solutions to support business intelligence, analytics, and reporting needs. Proficient in SQL and other query languages, with a solid understanding of database management and optimization techniques. Ability to communicate technical concepts effectively to non-technical stakeholders and align data strategies with business goals. Preferred Qualifications Experience in the pharmaceutical or life sciences sector, particularly in commercial data management, sales, marketing, or operations. Certification or formal training in cloud platforms (e.g., Snowflake, AWS, Azure) or data management frameworks. Familiarity with data science methodologies, machine learning, and advanced analytics tools. Knowledge of Agile methodologies for managing data projects. Key Skills Data Architecture & Design Cloud Platforms (Snowflake – critical to have) Data Governance & Quality Assurance ETL & Data Transformation Data Integration & Pipelines Pharmaceutical Data Management (Preferred) SQL & Database Optimization Leadership & Mentorship Business & Technical Collaboration Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: snowflake,database,data governance & quality assurance,data integration & pipelines,etl & data transformation,azure,business & technical collaboration,aws,data management,analytics,sql,sql & database optimization,cloud platforms (snowflake),leadership & mentorship,cloud platforms,data architecture & design,data Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated RWE-HEOR-Patient Analytics Specialist at the Associate Consultant/Senior Associate Consultant/Consultant/Senior Consultant level to join our dynamic team. In this role, you will play a critical part in leveraging Patient Analytics, Real-World Evidence (RWE) and Health Economics & Outcomes Research (HEOR) methodologies to drive impactful insights and support life sciences clients in optimizing patient outcomes, decoding patient journeys and refining healthcare strategies. You will apply advanced analytical techniques to generate evidence, drive patient-centric insights, influence healthcare decision-making, and support market access strategies. Key Responsibilities Patient Journey Analytics & Segmentation: Lead comprehensive patient journey mapping initiatives, utilizing advanced analytics to identify patient phenotypes, treatment pathways, adherence patterns, and care gaps across diverse therapeutic areas. Predictive Patient Modeling: Develop and deploy machine learning models for patient risk stratification, treatment response prediction, and personalized care pathway optimization using multi-modal healthcare data sources. Patient-Reported Outcomes Analysis: Design and execute sophisticated analyses of patient-reported outcomes (PROs), quality of life measures, and patient satisfaction data to quantify treatment impact from the patient perspective. Real-World Data Integration & Patient Cohort Development: Apply advanced statistical modeling and epidemiological methods to analyze claims data, EMRs, wearable device data, and patient registries with a focus on patient-level insights and longitudinal patient analytics. Health Economics Through Patient Lens: Conduct patient-centered economic evaluations, including cost-per-patient analyses, patient lifetime value modeling, and healthcare resource utilization studies to support value-based care initiatives. Advanced Patient Analytics Solutions: Lead the design and implementation of AI/ML applications for patient behavior prediction, treatment optimization algorithms, and patient engagement analytics to inform precision medicine strategies. Client Engagement & Patient-Centric Strategy: Collaborate with clients to translate patient analytics insights into actionable healthcare strategies, focusing on patient outcomes improvement, care personalization, and patient experience enhancement. Stakeholder Communication & Patient Advocacy: Effectively communicate patient-centered research findings to healthcare providers, payers, pharmaceutical companies, and patient advocacy groups through compelling visualizations, reports, and presentations. Project Leadership & Innovation: Manage complex patient analytics projects end-to-end while fostering innovation in patient data science methodologies and contributing to thought leadership in patient analytics. Team Development & Knowledge Sharing: Mentor team members in patient analytics techniques and contribute to internal capability building in patient-centered research methodologies. Qualifications Education: Bachelor's or Master's degree in Data Science, Biostatistics, Health Informatics, Digital Health, Epidemiology, Health Economics, Public Health, or related quantitative fields with emphasis on patient-centered research. Experience 3-9 years of experience in Patient Analytics, Digital Health Analytics, RWE and HEOR, preferably within the pharmaceutical, consulting, or healthcare industries. Technical Skills Advanced proficiency in statistical software and programming languages (Python, R, SAS, SQL) with emphasis on patient data analysis. Expert-level application of machine learning (scikit-learn, TensorFlow, PyTorch) in patient stratification, cost-effectiveness modeling, and real-world outcomes analytics. Proficiency in advanced data visualization tools (Tableau, Power BI, Python/R visualization libraries) for patient journey visualization and patient outcomes dashboards. Experience with healthcare databases (claims, EHR, patient registries, wearable data) and patient data integration techniques. Knowledge of patient privacy regulations (HIPAA, GDPR) and healthcare data security protocols. Proficient in leveraging clinical trial data, patient-reported outcomes platforms, and digital health technologies for real-world evidence generation and HEOR insights. Analytics Skills Experience with patient cohort identification and matching algorithms. Knowledge of patient engagement analytics and behavioral health analytics. Understanding of care pathway optimization and treatment sequence analysis. Familiarity with patient risk scoring and population health management. Experience to integrate Real-World Evidence (RWE) and Health Economics & Outcomes Research (HEOR) principles Personal Skills Patient-centric mindset with strong analytical and problem-solving abilities focused on improving patient outcomes. Excellent communication skills with ability to translate complex patient analytics into actionable insights for clinical and business stakeholders. Collaborative approach to working with clinical teams, data scientists, and healthcare professionals. Adaptability and continuous learning mindset to stay current with patient analytics innovations, RWE and HEOR trends. Ethical approach to patient data handling and commitment to patient privacy and data security. Benefits Competitive salary and comprehensive benefits package Leadership opportunities in cutting-edge patient analytics, RWE and HEOR initiatives Career development in the rapidly growing patient analytics and precision medicine field Collaborative environment with opportunities to directly impact patient care and outcomes Exposure to innovative healthcare technologies and global life sciences industry trends Professional development support including conferences, certifications, and advanced training in patient analytics, RWE and HEOR methodologies Skills: real-world evidence (rwe),health economics & outcomes research (heor),heor,predictive analytics,patient-reported outcomes,rwe,analytics,patient data integration,predictive modeling,machine learning,rwd,apld,patient analytics,advanced analytics,data visualization,healthcare,statistical modeling Show more Show less

About The Role Introduction: We are seeking an experienced and highly skilled Solution Architect to lead strategic projects focused on Pharma Commercial Data Eco-Systems. This role demands a professional with 10+ years of experience in data architecture (structured and unstructured), data management, ETL, data transformation, and governance, with an emphasis on providing scalable and secure data solutions for the pharmaceutical sector. The ideal candidate will bring a deep understanding of data architecture principles, experience with cloud platforms such as Snowflake, and a solid background in building data warehouses, and data lakes. If you're passionate about leading impactful data initiatives, optimizing data workflows, and supporting the pharmaceutical industry's data needs, we invite you to apply. Immediate Joiners are preferred. Responsibilities Key Responsibilities: Lead Data Architecture and Strategy: Design, develop, and implement Data Platforms. Define and implement best practices for data architecture, ensuring alignment with business goals and technical requirements. Develop a strategic data roadmap for efficient data management and integration across multiple platforms and systems. Collaborate with Project/Program Managers in refining project estimates and own solution architecture in pre-sales and during delivery. Be a trusted advisor to stakeholders within Improzo and with clients. Data Integration, ETL, ELT & Transformation: Design the best ETL (Extract, Transform, Load) or ELT processes to ensure seamless integration and transformation of data from multiple sources, including commercial, sales, marketing, and regulatory databases. Collaborate with data engineers and developers to design efficient and automated data pipelines for processing large volumes of data. Lead efforts to optimize data workflows and improve data transformation processes to enhance reporting and analytics capabilities. Data Governance & Quality Assurance: Collate, and enforce data governance standards across the data management ecosystem, ensuring the consistency, accuracy, and integrity of commercial data. Develop and maintain policies for data stewardship, data security, and compliance with industry regulations, such as HIPAA, GDPR, and other pharma-specific compliance requirements. Work closely with business stakeholders to ensure the proper definition of master data and reference data standards. Cloud Platform Expertise (Snowflake (critical to have), AWS, Azure): Lead the adoption and utilization of cloud-based data platforms, particularly Snowflake, to support data warehousing, analytics, and business intelligence needs. Collaborate with cloud infrastructure teams to ensure efficient management of data storage, compute resources, and performance optimization within cloud environments. Stay up-to-date with the latest cloud technologies, such as Snowflake, AWS, Azure, or Google Cloud (optional)), and evaluate opportunities for incorporating them into data architectures. Collaboration with Cross-functional Teams: Work closely with business leaders in commercial operations, analytics, and IT teams to understand their data needs and provide strategic data solutions that enhance business operations. Collaborate with data scientists, analysts, and business intelligence teams to ensure data is available for reporting, analysis, and decision-making. Facilitate communication between IT, business stakeholders, and external vendors to ensure data architecture solutions align with business requirements. Continuous Improvement & Innovation: Drive continuous improvement efforts to optimize data pipelines, data storage, and analytics workflows. Identify opportunities to improve data quality, streamline processes, and enhance the efficiency of data management operations. Advocate for the adoption of new data management technologies, tools, and methodologies to improve data processing, security, and integration. Leadership and Mentorship: Lead and mentor a team of data engineers, analysts, and other technical resources, fostering a collaborative and innovative work environment. Provide leadership in setting clear goals, performance metrics, and expectations for the team. Offer guidance on data architecture best practices, ensuring all team members are aligned with the organization’s data strategy. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. 10+ years of experience in data architecture, data management, and data governance, with a proven track record of leading commercial data management operations projects. Extensive experience in data architecture, data integration, ETL/ELT, and data transformation processes, using traditional as well as Self-Serve tools. Strong expertise with cloud platforms, particularly Snowflake, AWS, Azure. Strong knowledge of data governance frameworks, including data security, privacy regulations, and compliance standards in the pharmaceutical industry (e.g., HIPAA, GDPR). Hands-on experience in designing scalable and efficient data architecture solutions to support business intelligence, analytics, and reporting needs. Proficient in SQL and other query languages, with a solid understanding of database management and optimization techniques. Ability to communicate technical concepts effectively to non-technical stakeholders and align data strategies with business goals. Preferred Qualifications Experience in the pharmaceutical or life sciences sector, particularly in commercial data management, sales, marketing, or operations. Certification or formal training in cloud platforms (e.g., Snowflake, AWS, Azure) or data management frameworks. Familiarity with data science methodologies, machine learning, and advanced analytics tools. Key Skills Data Architecture & Design Cloud Platforms (Snowflake – critical to have) Data Governance & Quality Assurance ETL, ELT, & Custom Data Transformation Data Integration & Pipelines, Monitoring Pharmaceutical Data Management (Preferred) SQL & Database Optimization Leadership & Mentorship Business & Technical Collaboration Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: integration,snowflake,databricks,sql & database optimization,business & technical collaboration,cloud platforms (snowflake),leadership & mentorship,management,analytics,data architecture,data architecture & design,data integration & pipelines,cloud,etl, elt, & custom data transformation,data governance & quality assurance Show more Show less

At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role Introduction: We are seeking an experienced and highly skilled Snowflake Data Lead/Architect to lead strategic projects focused on Pharma Commercial Data Management. This role demands a professional with 7-9 years of experience in data architecture, data management, ETL, data transformation, and governance, with an emphasis on providing scalable and secure data solutions for the pharmaceutical sector. The ideal candidate will bring a deep understanding of data architecture principles, experience with cloud platforms like Snowflake and Databricks, and a solid background in driving commercial data management projects. If you're passionate about leading impactful data initiatives, optimizing data workflows, and supporting the pharmaceutical industry's data needs, we invite you to apply. Responsibilities Key Responsibilities: Snowflake Solution Design & Development: Work closely with client stakeholders, data architects, and business analysts to understand detailed commercial data requirements and translate them into efficient Snowflake technical designs. Design, develop, and optimize complex ETL/ELT processes within Snowflake using SQL, Stored Procedures, UDFs, Streams, Tasks, and other Snowflake features. Implement data models (dimensional, star, snowflake schemas) optimized for commercial reporting, analytics, and data science use cases. Implement data governance, security, and access controls within Snowflake, adhering to strict pharmaceutical compliance regulations (e.g., HIPAA, GDPR, GxP principles). Develop and manage data sharing and collaboration solutions within Snowflake for internal and external partners. Optimize Snowflake warehouse sizing, query performance, and overall cost efficiency. Data Integration Integrate data from various commercial sources, including CRM systems (e.g., Veeva, Salesforce), sales data (e.g., IQVIA, Symphony), marketing platforms, patient services data, RWD, and other relevant datasets into Snowflake. Utilize tools like Fivetran, Azure Data Factory or custom Python scripts for data ingestion and transformation. Tech Leadership & Expertise Provide technical expertise and support for Snowflake-related issues, troubleshooting data discrepancies and performance bottlenecks. Participate in code reviews, ensuring adherence to best practices and coding standards. Mentor junior developers and contribute to the growth of the data engineering team. Data Quality, Governance & Security Implement robust data quality checks, validation rules, and reconciliation processes to ensure accuracy and reliability of commercial data. Apply and enforce data governance policies, including data lineage, metadata management, and master data management principles. Implement and maintain strict data security, access controls, and data masking techniques within Snowflake, adhering to pharmaceutical industry compliance standards (e.g., HIPAA, GDPR, GxP principles). Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative field. Master's degree preferred. 7+ years of progressive experience in data warehousing, ETL/ELT development, and data engineering roles. 4+ years of hands-on, in-depth experience as a Snowflake Developer, with a proven track record of designing and implementing complex data solutions on the Snowflake platform. Expert-level proficiency in SQL for data manipulation, complex query optimization, and advanced stored procedure development within Snowflake. Strong understanding and practical experience with data modeling techniques (e.g., Dimensional Modeling, Data Vault). Experience with data integration tools for Snowflake (e.g., Fivetran, Matillion, DBT, Airflow, or custom Python-based ETL frameworks). Proficiency in at least one scripting language (e.g., Python) for data processing, API integration, and automation. Demonstrable understanding of data governance, data security, and regulatory compliance within the pharmaceutical or other highly regulated industries (e.g., GxP, HIPAA, GDPR, PII). Experience working in a client-facing or consulting environment with strong communication and presentation skills. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team in a fast-paced environment. Preferred Qualifications Specific experience with pharmaceutical commercial data sets such as sales data (e.g., IQVIA, Symphony), CRM data (e.g., Veeva, Salesforce), claims data, patient services data, or master data management (MDM) for commercial entities. Knowledge of commercial analytics concepts and KPIs in the pharma industry (e.g., sales performance, market share, patient adherence). Experience working with cloud platforms (AWS, Azure, or GCP) and their native services for data storage and processing. Experience with version control systems (e.g., Git). Snowflake certifications (e.g., SnowPro Core, SnowPro Advanced). Experience with data visualization tools (e.g., Tableau, Power BI, Qlik Sense) and their connectivity to Snowflake. Knowledge of Agile methodologies for managing data projects. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: data visualization tools,data vault,azure data factory,data architecture,client-facing,data governance,data quality,data,snowflake,sql,data integration,fivetran,pharma commercial,data security,python,dimensional modeling,etl,data management

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with onesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role As the Practice Lead – Digital & Technology , you'll be a key driver in shaping and significantly expanding our offerings within the dynamic pharma commercial sector . You'll lead complex technology programs, pioneer new service lines, build and mentor a top-tier team, and act as a trusted advisor to leading pharmaceutical clients. Your expertise will guide them through critical initiatives in digital strategy, commercial analytics, and emerging technologies. You'll bring over 10+ years of experience delivering large-scale tech programs in Life Sciences, with a strong emphasis on commercial functions. Your background should also showcase a proven ability to lead business transformations and scale practices into highly profitable business units. The compensation will be a combination of Base + Bonus + Equity. Key Responsibilities Practice Strategy & Vision for Pharma Commercial Define and rigorously execute the strategic roadmap for the Digital & Technology Practice, with an unwavering focus on high-value pharma commercial solutions. Proactively identify and assess emerging trends and disruptive technologies in pharma commercial tech (e.g., AI/ML-driven predictive analytics, omnichannel orchestration, next-gen commercial data platforms, real-world evidence integration) and cloud technologies like AWS (e.g., HealthLake, S3 for secure storage, Glue for ETL) and Azure (e.g., Health Data Services, Data Lake, Synapse Analytics). Translate these trends into compelling, actionable offerings, working seamlessly with sales teams and senior client stakeholders. Business Development & Thought Leadership Drive and actively support sales pursuits by shaping winning proposals, responding to RFPs/RFIs, developing comprehensive Statements of Work (SOWs) that often include robust commercial data strategies and cloud architecture designs. Lead strategic client conversations focused on commercial value and co-create innovative solutions for specific pharma commercial challenges. Represent the firm at key pharmaceutical industry events, author influential thought leadership content on pharma commercial trends and digital strategies, including the strategic use of commercial data warehouses and cloud adoption (AWS, Azure, GCP). Collaborate closely with sales and marketing teams to develop targeted go-to-market strategies and campaigns. Practice Management & Operations Establish and manage the practice’s operating model, including governance, agile delivery methodologies, and comprehensive knowledge management, optimized for pharma commercial projects, including data governance for commercial data assets. Define KPIs and performance metrics; rigorously track utilization, revenue growth, and profitability. Oversee strategic resource planning, staffing, and capacity management for scalable and efficient delivery of pharma commercial engagements. Foster a culture of continuous learning, innovation, and cross-functional collaboration, encouraging expertise in pharma commercial domains, including commercial data architecture and analytics. Team Building & Leadership Hire, mentor, and lead a high-performing team of consultants, architects, and analysts with deep expertise in life sciences and pharma commercial technologies, including specialists in data warehousing, BI, and cloud solutions. Create comprehensive career development plans and lead internal capability-building initiatives focused on market trends, new technologies, and commercial best practices relevant to the pharmaceutical industry. Technology Program Delivery & Commercial Impact Lead end-to-end delivery of all technical programs/projects for pharma clients, taking full ownership from strategy to execution. Collaborate with internal practices, client teams, and senior client stakeholders to ensure solutions address commercial pain points and deliver measurable impact (e.g., enhanced sales force effectiveness, optimized patient engagement). Serve as the primary escalation point, leveraging experience to keep projects on track and ensure exceptional client satisfaction. Commercial Offering Development Design and package consulting services around critical commercial functions: CRM optimization (Veeva, Salesforce Health Cloud), Master Data Management (MDM) for commercial data (HCP, HCO, product), advanced commercial data platforms, field force effectiveness, digital engagement strategies, and patient support programs. Lead the design, architecture, and implementation of robust commercial data warehouses and data lakes, leveraging cloud-native services like AWS Redshift/Snowflake on AWS, or Azure Synapse Analytics/Databricks on Azure. These will serve as the single source of truth for critical commercial insights (e.g., sales data, patient data, claims data, syndicated data). Develop robust accelerators, frameworks, and reusable assets tailored for the pharma commercial lifecycle, enabling rapid deployment and demonstrable value. Client Engagement & Delivery Oversight Act as a senior advisor to pharmaceutical clients, guiding them through complex digital transformation journeys impacting their commercial models, with a strong focus on leveraging commercial data assets and cloud-based solutions. Provide strategic oversight on key engagements to ensure delivery excellence, client satisfaction, and achievement of defined commercial outcomes. Resolve escalations and ensure alignment between client expectations and delivery outcomes, especially in high-stakes commercial projects involving data integration, analytics, and cloud adoption. Compliance & Regulatory Acumen Ensure all digital and technology solutions, including commercial data warehouses, Intelligent RPA implementations, and cloud deployments on AWS and Azure, adhere to relevant pharmaceutical industry regulations and compliance standards (e.g., FDA, HIPAA, GDPR, GxP, global/local promotional guidelines). Minimize risk and uphold ethical commercial practices, especially regarding patient privacy and data security in cloud environments. Others Strong understanding of the life sciences and bio-pharma industry is highly desirable. Comfortable with commercial dataset: Sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc. Excellent communication, presentation, and interpersonal skills. Excellent problem-solving, analytical, and decision-making skills. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package, including stock options Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth Skills: cloud,practice management,digital strategy,mentoring,commercial data platforms,commercial analytics,analytics,omnichannel orchestration,crm optimization (veeva, salesforce health cloud),emerging technologies,cloud technologies (aws, azure),business transformation,pharma commercial,data,team building,master data management (mdm),life sciences,digital,data warehousing,ai/ml-driven predictive analytics,data governance,project management,technology

At Imrozo (Improve + Zoe; meaning Life in Greek), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused for delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated and experienced Business Analyst to join our growing team. In this role, you will be the critical link between our pharmaceutical commercial clients and our Project Analytics delivery teams, ensuring that our solutions effectively address their unique business needs and challenges. You will play a pivotal role in shaping the future of pharmaceutical commercial operations through technology. Key Responsibilities Client Engagement & Needs Assessment: Proactively engage with pharmaceutical commercial stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, CRM teams) to understand their business processes, challenges, and strategic objectives. Conduct in-depth workshops, interviews, and data analysis to elicit, document, and prioritize business requirements for new software features, enhancements, and custom solutions. Translate complex business problems into clear, concise, and actionable functional and non-functional requirements. Requirements Management & Documentation Develop comprehensive documentation including Business Requirements Documents (BRDs), Functional Specification Documents (FSDs), Use Cases, User Stories, process flows, and wireframes. Utilize tools such as JIRA, Confluence, Azure DevOps, or similar for requirements management, traceability, and collaboration. Manage requirement changes throughout the software development lifecycle, ensuring proper version control and communication. Project Lifecycle Support Act as a subject matter expert during the development, testing, and deployment phases. Support Quality Assurance (QA) teams in developing test plans and validating that developed solutions meet business requirements. Assist in user acceptance testing (UAT) by providing guidance, clarifying requirements, and addressing user feedback. Contribute to training materials and user documentation. Market & Industry Insight Stay abreast of industry trends, regulatory changes (e.g., GxP, HIPAA, GDPR), and emerging technologies within the pharmaceutical commercial landscape. Proactively identify opportunities for process improvement and innovation within client organizations. Qualifications Bachelor's degree in Business Administration, Information Technology, Computer Science, or a related field. 4+ years of experience as Business Analyst, with a strong understanding of the life sciences and bio-pharma industry. Comfortable with commercial processes, data, analytics and pharma dataset (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Expertise in requirements gathering techniques (interviews, workshops, use cases, user stories) and proficiency in creating detailed documentation (BRDs, FSDs, process flows, wireframes). Proven experience working with clients in the Pharmaceutical Commercial domain (e.g., Sales Force Automation, CRM, Marketing Automation, Sales Operations, Incentive Compensation, Data Analytics for Commercial teams). Strong understanding of data warehousing, data mining, and data visualization tools. Expertise in advanced analytics techniques, including machine learning, artificial intelligence, and predictive modelling. Familiarity with Agile and Waterfall methodologies. Experience with requirements management tools (e.g. JIRA, Confluence, etc.). Awareness of programming languages such as R or Python; familiarity with SQL for database management; experience with data visualization tools like Tableau, PowerBI, etc., understanding of statistical modelling techniques. Conceptual understanding of cloud-based data platforms such as AWS, Azure, or Google Cloud. Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: agile methodologies,business analysis,documentation,analytics,data,cloud platforms (aws, azure, google cloud),machine learning,powerbi,data mining,azure devops,data visualization,client engagement,predictive modelling,confluence,jira,business requirements,life sciences,tableau,commercial,artificial intelligence,data warehousing,data analysis,hipaa compliance,operations,sql,crm,requirements gathering

About Improzo At Improzo (Improve + Zoe; meaning Life in Greek), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused for delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We're looking for a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You'll optimize Pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE). Key Responsibilities Data Exploration & Problem Framing: Proactively engage with client/business stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, Medical Affairs, Patient Advocacy teams) to deeply understand their challenges and strategic objectives. Explore, clean, and prepare large, complex, and sometimes messy datasets from various sources, including but not limited to: sales data, prescription data, claims data, Electronic Health Records (EHRs), patient support program data, CRM data, and real-world evidence (RWE) datasets. Translate ambiguous business problems into well-defined data science questions and develop appropriate analytical frameworks. Advanced Analytics & Model Development Design, develop, validate, and deploy robust statistical models and machine learning algorithms (e.g., predictive models, classification, clustering, time series analysis, causal inference, natural language processing). Develop models for sales forecasting, marketing mix optimization, customer segmentation (HCPs, payers, pharmacies), sales force effectiveness (SFE) analysis, incentive compensation modelling, and market access analytics (e.g., payer landscape, formulary impact). Analyze promotional effectiveness and patient persistency/adherence. Build models for patient journey mapping, patient segmentation for personalized interventions, treatment adherence prediction, disease progression modelling, and identifying drivers of patient outcomes from RWE. Contribute to understanding patient behavior, unmet needs, and the impact of interventions on patient health. Generative AI & LLM Solutions Extracting insights from unstructured text data (e.g., clinical notes, scientific literature, sales call transcripts, patient forum discussions). Summarization of complex medical or commercial documents. Automated content generation for internal use (e.g., draft reports, competitive intelligence summaries). Enhancing data augmentation or synthetic data generation for model training. Developing intelligent search or Q&A systems for commercial or medical inquiries. Apply techniques like prompt engineering, fine-tuning of LLMs, and retrieval-augmented generation (RAG). Insight Generation & Storytelling Transform complex analytical findings into clear, concise, and compelling narratives and actionable recommendations for both technical and non-technical audiences. Create impactful data visualizations, dashboards, and presentations using tools like Tableau, Power BI, or Python/R/Alteryx visualization libraries. Collaboration & Project Lifecycle Management Collaborate effectively with cross-functional teams including product managers, data engineers, software developers, and other data scientists. Support the entire data science lifecycle, from conceptualization and data acquisition to model development, deployment (MLOps), and ongoing monitoring in production environments. Qualifications Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Bioinformatics, Epidemiology, or a related quantitative field. 4+ years progressive experience as a Data Scientist, with demonstrated success in applying advanced analytics to solve business problems, preferably within the healthcare, pharmaceutical, or life sciences industry using pharma dataset extensively (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Must-have: Solid understanding of pharmaceutical commercial operations (e.g., sales force effectiveness, marketing, market access, CRM). Must-have: Experience working with real-world patient data (e.g., claims, EHR, pharmacy data, patient registries) and understanding of patient journeys. Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R for data manipulation, statistical analysis, and machine learning. Expertise in SQL for data extraction, manipulation, and analysis from relational databases. Experience with machine learning frameworks and libraries. Proficiency in data visualization tools (e.g., Tableau, Power BI) and/or visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a significant advantage. Specific experience with Natural Language Processing (NLP) techniques, Generative AI models (e.g., Transformers, diffusion models), Large Language Models (LLMs), and prompt engineering is highly desirable. Experience with fine-tuning LLMs, working with models from Hugging Face, or utilizing major LLM APIs (e.g., OpenAI, Anthropic, Google). Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: data manipulation,analytics,llm,generative ai,commercial pharma,mlops,sql,python,natural language processing,data visualization,models,r,machine learning,statistical analysis,genai,data,patient outcomes

About Improzo At Improzo, we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We're looking for a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You'll optimize Pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE). Key Responsibilities Data Exploration & Problem Framing: Proactively engage with client/business stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, Medical Affairs, Patient Advocacy teams) to deeply understand their challenges and strategic objectives. Explore, clean, and prepare large, complex, and sometimes messy datasets from various sources, including but not limited to: sales data, prescription data, claims data, Electronic Health Records (EHRs), patient support program data, CRM data, and real-world evidence (RWE) datasets. Translate ambiguous business problems into well-defined data science questions and develop appropriate analytical frameworks. Advanced Analytics & Model Development: Design, develop, validate, and deploy robust statistical models and machine learning algorithms (e.g., predictive models, classification, clustering, time series analysis, causal inference, natural language processing). Analyze promotional effectiveness and patient persistency/adherence. Build models for patient journey mapping, patient segmentation for personalized interventions, treatment adherence prediction, disease progression modeling, and identifying drivers of patient outcomes from RWE. Contribute to understanding patient behavior, unmet needs, and the impact of interventions on patient health. Generative AI & LLM Solutions: Extract insights from unstructured text data (e.g., clinical notes, scientific literature, sales call transcripts, patient forum discussions). Summarize complex medical or commercial documents. Automate content generation for internal use (e.g., draft reports, competitive intelligence summaries). Enhance data augmentation or synthetic data generation for model training. Develop intelligent search or Q&A systems for commercial or medical inquiries. Apply techniques like prompt engineering, fine-tuning of LLMs, and retrieval-augmented generation (RAG). Insight Generation & Storytelling: Transform complex analytical findings into clear, concise, and compelling narratives and actionable recommendations for both technical and non-technical audiences. Create impactful data visualizations, dashboards, and presentations using tools like Tableau, Power BI, or Python/R/Alteryx visualization libraries. Collaboration & Project Lifecycle Management: Collaborate effectively with cross-functional teams including product managers, data engineers, software developers, and other data scientists. Support the entire data science lifecycle, from conceptualization and data acquisition to model development, deployment (MLOps), and ongoing monitoring in production environments. Qualifications Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Bioinformatics, Epidemiology, or a related quantitative field. 4+ years progressive experience as a Data Scientist, with demonstrated success in applying advanced analytics to solve business problems, preferably within the healthcare, pharmaceutical, or life sciences industry using pharma dataset extensively (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Must-have: Solid understanding of pharmaceutical commercial operations (e.g., sales force effectiveness, marketing, market access, CRM). Must-have: Experience working with real-world patient data (e.g., claims, EHR, pharmacy data, patient registries) and understanding of patient journeys. Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R for data manipulation, statistical analysis, and machine learning. Expertise in SQL for data extraction, manipulation, and analysis from relational databases. Experience with machine learning frameworks and libraries. Proficiency in data visualization tools (e.g., Tableau, Power BI) and/or visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a significant advantage. Specific experience with Natural Language Processing (NLP) techniques, Generative AI models (e.g., Transformers, diffusion models), Large Language Models (LLMs), and prompt engineering is highly desirable. Experience with fine-tuning LLMs, working with models from Hugging Face, or utilizing major LLM APIs (e.g., OpenAI, Anthropic, Google). Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry. Collaborative and supportive work environment. Opportunities for professional development and growth.,

At Improzo, we are dedicated to improving life by empowering our customers through quality-led commercial analytical solutions. Our team of experts in commercial data, technology, and operations collaborates to shape the future with leading Life Sciences clients and carefully chosen peers. People are at the heart of our success, and we uphold our CARE values framework, prioritizing customer needs, pursuing innovation, fostering respect, and maintaining a focus on quality-led execution. As a Data Scientist in Pune at Improzo, your role involves driving insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You will be optimizing Pharma commercial strategies and improving patient outcomes through various analytical techniques. Your responsibilities will include engaging with client stakeholders to understand challenges and strategic objectives, exploring and preparing complex datasets from various sources, developing statistical models and machine learning algorithms, analyzing promotional effectiveness and patient adherence, utilizing generative AI and LLM solutions, transforming analytical findings into actionable recommendations, collaborating with cross-functional teams, and supporting the entire data science lifecycle. To qualify for this role, you should have a Master's or Ph.D. in a related quantitative field, at least 4 years of experience as a Data Scientist, a solid understanding of pharmaceutical commercial operations, experience with real-world patient data and patient journeys, strong programming skills in Python and/or R, expertise in SQL and data visualization tools, familiarity with cloud platforms and big data technologies, knowledge of NLP techniques and LLMs, experience with MLOps practices and tools, and an understanding of industry regulations and compliance requirements. Additionally, excellent communication, presentation, interpersonal skills, attention to detail, client centricity, ability to work independently and as part of a team, and strong leadership skills are essential. Join us at Improzo for a competitive salary and benefits package, the opportunity to work on cutting-edge Analytics projects, a collaborative work environment, and professional development opportunities. If you are passionate about data manipulation, analytics, generative AI, commercial pharma, MLOps, and have the necessary skills and experience, we look forward to having you on our team.,

About Improzo At Improzo, we are committed to enhancing the lives of our customers by providing top-notch commercial analytical solutions. Our team of seasoned professionals in commercial data, technology, and operations is dedicated to delivering quality services and continuously evolving together. Here at Improzo, you will have the opportunity to collaborate with brilliant minds in an open and innovative environment, shaping the future alongside leading clients in the Life Sciences industry. Our success is driven by our CARE values framework, which guides us in everything we do: - Customer-Centric: Prioritize customer needs and outcomes in all actions. - Adaptive: Embrace agility and innovation to explore new possibilities. - Respect: Foster a culture of collaboration, honesty, transparency, and ethical responsibility. - Execution: Maintain a laser focus on quality-led execution in all our services, solutions, and customer experiences. About The Role As the Practice Lead Digital & Technology (Commercial Pharma) at Improzo, you will play a crucial role in expanding our offerings within the dynamic pharma commercial sector. Your responsibilities will include leading technology programs, developing new service lines, mentoring a top-tier team, and serving as a trusted advisor to prominent pharmaceutical clients. With over 10 years of experience in delivering large-scale tech programs in Life Sciences, you will bring a strong background in commercial functions and business transformations. Key Responsibilities Practice Strategy & Vision for Pharma Commercial: - Define and execute the strategic roadmap for the Digital & Technology Practice, focusing on high-value pharma commercial solutions. - Identify emerging trends and disruptive technologies in pharma commercial tech, translating them into actionable offerings. - Collaborate with sales teams and senior client stakeholders to drive strategic initiatives. Business Development & Thought Leadership: - Shape winning proposals and respond to RFPs/RFIs, developing comprehensive Statements of Work. - Lead strategic client conversations and co-create innovative solutions for pharma commercial challenges. - Represent the firm at industry events and produce thought leadership content on pharma commercial trends. Practice Management & Operations: - Establish and manage the practices operating model, including governance and agile delivery methodologies. - Define performance metrics, track utilization, revenue growth, and profitability. - Oversee resource planning, staffing, and capacity management for efficient delivery of pharma commercial engagements. Team Building & Leadership: - Hire, mentor, and lead a high-performing team with expertise in life sciences and pharma commercial technologies. - Develop career plans and lead capability-building initiatives for market trends and new technologies. - Foster a culture of continuous learning, innovation, and collaboration. Technology Program Delivery & Commercial Impact: - Lead end-to-end delivery of technical programs for pharma clients, ensuring measurable impact. - Collaborate with internal teams and clients to address commercial pain points and enhance client satisfaction. - Design consulting services around critical commercial functions and develop robust commercial data warehouses. Client Engagement & Delivery Oversight: - Act as a senior advisor to pharmaceutical clients, guiding them through digital transformation journeys. - Provide oversight on key engagements to ensure delivery excellence and client satisfaction. - Ensure compliance with relevant pharmaceutical industry regulations and standards. Compliance & Regulatory Acumen: - Ensure all digital solutions adhere to industry regulations and compliance standards. - Uphold ethical commercial practices, especially regarding data security in cloud environments. - Maintain a strong understanding of the life sciences and bio-pharma industry. Other Skills: - Strong communication, presentation, and interpersonal skills. - Excellent problem-solving, analytical, and decision-making abilities. - Attention to detail and client-centric approach. - Ability to work independently and as part of a team. - Strong leadership, mentoring, and coaching skills. Benefits We offer a competitive salary and benefits package, including stock options, the opportunity to work on cutting-edge projects in the life sciences industry, a collaborative work environment, and opportunities for professional development and growth.,

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role The Consultant - Forecasting is responsible for developing, delivering, and maintaining forecasts (patient-based, TRx-based, etc.) and business insights for Improzo’s clients. The Consultant will work with clients in forecasting, market research, market access and other cross-functional teams. The position involves managing client relationships and directly interacting with and presenting to client stakeholders. You will need to leverage your quantitative and qualitative skills to not only create and analyze number-driven models, but creatively develop methods/approaches and deliver the story as well – this needs to be accomplished through a combination of analyzing client-provided data and secondary desk research. Experience with IQVIA or Symphony data (e.g., Xponent, DDD) is required. Working knowledge of patient-level data is a plus. Key Responsibilities Project Management: Play an integral role in executing analytics/consulting engagements through effective and efficient project management. Generate forecasts, analysis and actionable insights that lead to the achievement of strategic and financial goals for our clients. Manage and coordinate complex consulting engagements through strong client and people management, subject matter expertise, communication skills (both written and verbal), and the ability to draw conclusions and recommendations from a variety of evidence. Operate effectively as part of a global team, by participating and contributing to client discussions and proactively helping them with their decisions in creating and/or validating assumptions. Provide robust competitive assessments and insights that inform key decision-making processes for clients such as strategic brand planning, forecasting, and lifecycle management. Perform in-depth (secondary) market research and data analysis to derive understanding of the disease and patient segments based on client requirements. Analyse and integrate primary research and secondary data with other market knowledge to draw inferences and conclusions. Identify risks and opportunities for the business and support key decisions on business strategy with customer and market insights. Leverage all relevant data such as DRG/IQVIA to provide insights into forecast assumptions. Forge effective relationships with various stakeholders (both internal and external), e.g., teams running Market Research initiatives. Ensure effective delivery of work (models and presentations) to clients onsite or through video/teleconferences, through self and others in accordance with the project timelines and quality parameters. Convert Excel models into presentable reports and PowerPoint slides for effective utilization by clients, focusing on the storyboarding and narrative. Leadership Will be responsible for overall leadership, talent development, skill advancement, and engagement and retention of talent in the team (in case acting in the capacity of a team lead). Foster learning mindset in the team to proactively develop research and story-telling skills, leveraging multiple sources of data to answer business questions. Develop new capabilities leveraging new sources of data and methods that include segment-level analysis, etc. Engage with internal and external stakeholders to build effective relationships to create win-win engagement models. Mentor/Guide team members who can benefit from your expertise and experience. Qualifications Bachelors/Masters in Pharma / other life sciences background (Biotechnology, Bioinformatics, etc.) or bachelor’s in engineering / B. Tech or Master’s in Business Administration. 3-4 years of relevant forecasting and commercial analytics experience. Experience building financial models (e.g., market sizing, sales, and profit forecasts) using Microsoft Excel and other tools. In-depth expertise in developing, implementing, and managing holistic strategies for modelling (design, development, validation, calibration, documentation, approval, implementation, monitoring and reporting) in collaboration with life sciences teams. Broad experience in key functional areas of CI, analytics, and market research including the ability to understand and identify key business levers. Strong strategic skills including ability to see the big picture, along with conceptual and out-of-the-box thinking. Work experience in the US/European pharma industry is a plus. Ability to balance conflicting priorities. Proven people management skills. Other Competencies Entrepreneurial orientation. Excellent interpersonal and communication skills (written and verbal). Innovative and collaborative behavior, team player. Customer centricity and paying attention to details. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: skills,life sciences,data analysis,client relationship management,management,customer,excel,iqvia data,powerpoint,market access,forecasting,project management,research,market research,data