230 Dataiku Jobs

What You’ll Do This role is great learning opportunity to develop skills on AI engineering and cloud platform architecture. Under supervision, work with business to understand the AI use cases and develop using Dataiku Platform maintenance to ensure Dataiku platform is up and running and monitored for platform sustainability measurement metrics Automation of metrics measurement User management and access provisioning Subscription security score maintenance, Patching, auditing Provide first-level support for users of the Dataiku platform, including troubleshooting issues and escalating as needed. Qualifications Bachelor’s degree in computer science, Information Technology, or a related field. 0 to 2 years IT experience Skills Technical skills Exposure to cloud technology and AI basics Azure fundamentals SQL – ability to write and troubleshoot basic queries Python – familiarity with scripting and automation tasks Linux/Unix – basic command-line usage and file system navigation Version Control (Git) – understanding of basic Git operations Soft Skills Strong problem-solving and analytical thinking. Good communication and interpersonal skills. Eagerness to learn and grow in a fast-paced environment. Ability to work collaboratively in a team setting. Exposure to data analytics or data engineering concepts. Experience with ticketing systems like Jira or ServiceNow. ]]>

Position Summary... What you'll do... What You’ll Do Build, publish, and maintain interactive dashboards using Power BI Manage reports and workspaces in Power BI Service, including setup and deployment of Power BI Apps Create data model in Power BI using star/snowflake schema Ensure appropriate data refresh schedules, access controls, and versioning in the Power BI workspace Use Python to automate routine data processing and reporting tasks Perform data wrangling and transformation in Dataiku, integrating with GCP (especially Big Query) Collaborate with stakeholders to define KPIs and translate business needs into actionable reports Ensure dashboards are scalable, accurate, and well-documented Follow BI best practices around design principles, governance, and performance optimization What You’ll Bring Minimum 6-7 years of experience in analytics or business intelligence roles Expert-level skills in Power BI (DAX, Power Query, data modelling) Experience managing Power BI Service environments and Power BI Apps Strong proficiency in Python, specifically for automating data workflows and reporting tasks Hands-on experience with Dataiku or similar data prep tools Working knowledge of Google Cloud Platform (GCP), especially Big Query Proficient in SQL and working with large, complex datasets Excellent problem-solving, communication, and stakeholder engagement abilities Strong understanding of data governance, quality, and best practices in BI. Strong track record of working as an IC and experience in end-to-end project implementation. Preferred Qualifications: Experience in Agile/Scrum environments. Knowledge of other BI tools (e.g., Tableau, Looker) is a plus. Certification in Power BI or GCP is advantageous. Knowledge of Microsoft Power Platform is advantageous. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... 4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2222445

ABOUT CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. ANALYTICS AND INFORMATION MANAGEMENT (AIM) Citi AIM was established in 2003 and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytics methodologies. Responsibilities: MIS reporting and visualization: Create insightful reports using Tableau as per project objective Efficient logic development, testing, and execution of the project Able to work in a highly agile environment and able to quickly pivot based on requirement changes Data Transformation: Manipulate, aggregate and transform data extracted from multiple data sources Adopt Gen AI tools for better productivity Sharing of results: Expected to generate relevant insights and help maintain decks for leadership presentation Quick synthesis of the analysis results Domain Knowledge: Develop an understanding of the domain / business and build expertise in their area Document details and create standardized use cases for FAQs and process documents Other Responsibilities: This function covers incumbents responsible for various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering Responsible for routine operational or administrative work Day-to-day actions are focused on administering defined procedures, analyses and report preparation Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Must Haves: Bachelors or Master's degree with ~ 2 years of experience in data and visual analytics and Banking / Financials services support project Extensive Tableau (including server too) hands-on experience Should be comfortable preparing wireframes and dashboard designs Experienced in SQL and querying data from databases Experience working with cloud based and large and multiple datasets, data warehouses and ability to query / transform data is an added advantage Preferred: Working experience in Python, Hive, Impala, DataIKU, Palantir Experience on Cloud data platforms Worked in BFSI sector and must have industry knowledge This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Details Job Description: Join Altera, a leader in programmable logic technology, as we strive to become the #1 FPGA company. We are seeking a strategic and technically proficient Director of Data Science to lead the development, deployment, and governance of enterprise-wide AI and machine learning solutions. This role is central to our Data & Analytics team and will define how we leverage AI/ML across the business, from ideation to production. You will be responsible for architecting robust, scalable, and secure ML pipelines using a modern toolset, with a strong emphasis on Microsoft Azure services. As a senior leader in this space, you will also drive MLOps best practices, mentor technical teams, and ensure AI initiatives align with both business priorities and ethical standards. Responsibilities Define and execute the AI/ML strategy across business domains, collaborating with senior stakeholders to identify high-impact use cases. Design and implement robust AI/ML solutions using tools like Azure Machine Learning, Dataiku, and Kubeflow pipelines,etc., ensuring scalability, reproducibility, and performance. Build and manage full-lifecycle ML pipelines from data ingestion and training to deployment and monitoring using tools like Azure ML, Kubeflow, and Dataiku, etc. Establish MLOps practices including versioning, CI/CD for models, automated testing, and model drift monitoring. Work closely with data engineers, business analysts, product teams, and domain experts to translate complex business problems into ML-driven solutions. Integrate solutions with enterprise tools, leveraging widely-used libraries and platforms (e.g., TensorFlow, PyTorch,etc.) and APIs for NLP, computer vision, and generative AI (e.g., Azure OpenAI, Cognitive Services). Ensure AI solutions are explainable, reproducible, and aligned with enterprise data governance and ethical AI principles. Provide technical guidance to junior ML engineers and data scientists; establish reusable components and share best practices across teams. Stay ahead of industry trends and continuously evaluate emerging tools and technologies that can enhance AI delivery at scale. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or a related field. 15+ years of experience in building and deploying machine learning models in enterprise environments. Deep expertise in the Azure AI/ML ecosystem, especially: Azure Machine Learning (AutoML, ML Designer, SDK) Azure Synapse Analytics and Data Factory Azure Data Lake, Azure Databricks Azure OpenAI and Cognitive Services Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, etc. Strong understanding of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps or GitHub Actions. Hands-on experience with Dataiku and/or Kubeflow for collaborative modeling and production workflow orchestration. Demonstrated ability to design ML architectures that meet performance, scalability, and security standards. Experience working with structured, unstructured, and semi-structured data across business or industrial domains. Experience with real-time analytics, streaming data, or IoT use cases. Communication, leadership, and strategic planning skills. Understanding of semiconductor industry processes and business requirements. Why Join Us Drive enterprise-wide AI transformation in a data-forward organization. Work with a modern Azure-centered data stack. Collaborate with cross-disciplinary teams to solve real-world problems with AI. Lead innovation in a supportive environment that values experimentation and impact. Job Type Regular Shift Shift 1 (India) Primary Location: Ecospace 1 Additional Locations: Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

We are looking for an experienced professional to join the Analytics & Data organization in our Client Engagement Analytics function. The role will focus on WM Field Analytics supporting the advisor led channel business administration, strategy and national sales teams. The candidate will be involved in a hands-on capacity owning a variety of deliverables, including but not limited to: self-service dashboards, in-depth client and product adoption analysis, building data pipelines and curated analytical assets, and regular reporting & performance measurement. They will be responsible for owning delivery of key reports to US-based team members, senior management, and stakeholders as well as contributing to material for leadership presentations to our internal advisor population and externally to our investor base. The ideal candidate will display a high-level of autonomy, accountability, and analytical rigor. Creativity when using data to solve business problems paired with the ability to determine timely solutions are critical factors for success. A successful candidate with display innate curiosity and willingness to learn about the businesses they support. Key Responsibilities Key responsibilities will include but will not be limited to: > Develop comprehensive analytical and reporting solutions to support Wealth Management Field strategy and business administration, including visual and self-service analytics solutions (Tableau and Dataiku), ad-hoc insights, and executive presentations > Build data flows and curated datasets to support downstream insights, measurement and KPIs for enable business decision making > Identify opportunities to streamline, scale and enrich existing curated data to reduce redundancy, increase accuracy and performance > Partner with technology teams to develop new data ingestion pipelines into the data lake and tooling for business utilization > Act as center of excellence and develop best practices for business reporting and maintain a high degree of data quality and validation procedures for all deliverables Experience > Bachelor's degree in science/engineering/mathematics; MBA or other advanced degree preferred > A minimum of 3 years of experience in Data & Analytics (overall 3-5 years), preferably in the financial services industry Required Skills > Strong proficiency in SQL, Python and expertise in hands-on data analytics and providing insights; experience in defining analytical approaches and applying a range of analytical tools to synthesize insights and develop solutions > Experience with visual analytics applications like Tableau. > Experience in data flow automation tools like Dataiku is a plus. > Knowledge of ETL processes for automating and integrating data from multiple sources into a centralized data repository like - SQL Server, Snowflake, Hadoop > Proficiency with Microsoft Office tools (Excel, PowerPoint) > Keen focus on accuracy and analytical rigor as well as attention to detail, given the highly visibility nature of deliverables > Track record of working independently and solving problems creatively, as well as the ability to debug/maintain complex codes, with a strong sense of accountability and an eye for innovation > Strong skills in oral and written communication including experience in effectively and transparently communicating with colleagues and management in a different geographic location What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

About Citi Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. ANALYTICS AND INFORMATION MANAGEMENT (AIM) Citi AIM was established in 2003 and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytics methodologies. Responsibilities: MIS reporting and visualization: Create insightful reports using Tableau as per project objective Efficient logic development, testing, and execution of the project Able to work in a highly agile environment and able to quickly pivot based on requirement changes Data Transformation: Manipulate, aggregate and transform data extracted from multiple data sources Adopt Gen AI tools for better productivity Sharing of results: Expected to generate relevant insights and help maintain decks for leadership presentation Quick synthesis of the analysis results Domain Knowledge: Develop an understanding of the domain / business and build expertise in their area Document details and create standardized use cases for FAQs and process documents Other Responsibilities: This function covers incumbents responsible for various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering Responsible for routine operational or administrative work Day-to-day actions are focused on administering defined procedures, analyses and report preparation Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Must Haves: Bachelors or Master's degree with ~ 2 years of experience in data and visual analytics and Banking / Financials services support project Extensive Tableau (including server too) hands-on experience Should be comfortable preparing wireframes and dashboard designs Experienced in SQL and querying data from databases Experience working with cloud based and large and multiple datasets, data warehouses and ability to query / transform data is an added advantage Preferred: Working experience in Python, Hive, Impala, DataIKU, Palantir Experience on Cloud data platforms Worked in BFSI sector and must have industry knowledge This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As a Senior Manager in Data Visualization, you will be leading a team of Data Visualization and Analytics experts who are focused on designing and developing compelling analytical solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in team leadership, stakeholder management, product management while leading the development of user-centric visualization products that empower stakeholders with data driven insights & decision-making capability. Responsibilities Lead and manage a team of ~10 visualization experts, designers, data analysts, and insights specialists, fostering a high-performing, inclusive, and engaged work environment. Drive team-building initiatives, mentorship, coaching, and performance management while prioritizing diversity, inclusion, and well-being. Develop user-centric analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact. Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations. Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices. Foster a culture of innovation and continuous learning, encouraging the adoption of new visualization tools, methodologies, and a product mindset to build scalable and reusable solutions. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities. Required Experience And Skills 10+ years of experience in insight generation, business analytics, business intelligence, and interactive visual storytelling, with a strong focus on infographics and data-driven decision-making. Proven leadership and people management skills, including team development, mentoring, and fostering a high performing, engaged workforce. Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles. Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Hands-on expertise in BI and visualization tools such as Qlik, Power BI, MicroStrategy, Looker, and ThoughtSpot, with proficiency in PowerPoint and data storytelling for creating impactful presentations. Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python. Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights. Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics. Proven ability to manage third-party vendors and contractors, ensuring high-quality deliverables and cost-effective solutions. Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 08/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R346427

Job Description Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As a Senior Manager in Data Visualization, you will be leading a team of Data Visualization and Analytics experts who are focused on designing and developing compelling analytical solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in team leadership, stakeholder management, product management while leading the development of user-centric visualization products that empower stakeholders with data driven insights & decision-making capability. Responsibilities Lead and manage a team of ~10 visualization experts, designers, data analysts, and insights specialists, fostering a high-performing, inclusive, and engaged work environment. Drive team-building initiatives, mentorship, coaching, and performance management while prioritizing diversity, inclusion, and well-being. Develop user-centric analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact. Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations. Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices. Foster a culture of innovation and continuous learning, encouraging the adoption of new visualization tools, methodologies, and a product mindset to build scalable and reusable solutions. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities. Required Experience And Skills 10+ years of experience in insight generation, business analytics, business intelligence, and interactive visual storytelling, with a strong focus on infographics and data-driven decision-making. Proven leadership and people management skills, including team development, mentoring, and fostering a high performing, engaged workforce. Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles. Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Hands-on expertise in BI and visualization tools such as Qlik, Power BI, MicroStrategy, Looker, and ThoughtSpot, with proficiency in PowerPoint and data storytelling for creating impactful presentations. Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python. Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights. Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics. Proven ability to manage third-party vendors and contractors, ensuring high-quality deliverables and cost-effective solutions. Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 08/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R346427

Were Hiring: Python + GCP Engineer (Dataiku) Experience: 68 Years Location: Bangalore / Chennai / Gurugram Company: Derisk360 Are you passionate about building data solutions on the cloud and experienced in Python and GCP BigQueryJoin our team to build scalable pipelines, automate processes, and enable smarter decision-making with Dataiku and modern cloud tooling What Youll Do: Build and manage data workflows in Dataiku, including partitioned datasets Develop and optimize Python scripts for complex data transformations using pandas, numpy, and regex Integrate data sources and orchestrate transformations using Google Cloud Platform (BigQuery) Use Terraform to manage infrastructure and deployment of code changes in a scalable, automated fashion Collaborate with data scientists, analysts, and DevOps to deliver end-to-end data solutions What You Bring: 52+ years of hands-on experience with Dataiku, particularly working with partitioned datasets Strong command of Python, especially for data handling using pandas and numpy Practical knowledge of regular expressions (regex) for data cleaning and transformation Proficiency with GCP BigQuery for querying and managing large datasets Experience using Terraform to manage cloud infrastructure and code deployments Nice to Have: Exposure to CI/CD practices in data workflows Prior experience in data governance, metadata management, or MLOps environments What Youll Get: Competitive compensation and hybrid flexibility Opportunity to work on large-scale, impactful cloud data projects Collaborative culture with a strong focus on technical excellence and learning Access to cutting-edge tools in the data engineering ecosystem

1. Dataiku exp of at least 1.5-2 years. Good to know on creating and handling partitioned dataset in Dataiku. 2. Good with Python, data handling using pandas, numpy (Pandas and numpy are must and must know it in depth) and basics of regex. 3. Should be able to work on GCP big query and use terraform as base for managing the code changes.

Job description: Job Description Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ͏ Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities ͏ 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders ͏ 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally ͏ Deliver No. Performance Parameter Measure 1.Continuous Integration, Deployment & Monitoring of Software100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan2.Quality & CSATOn-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation3.MIS & Reporting100% on time MIS & report generation Mandatory Skills: Dataiku . Experience: 5-8 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job title : Location : Hyderabad % of travel expected : Travel required as per business need, if any Job type : Permanent and Full time Our Team: Sanofi Business Operation (SBO) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. SBO strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, Globally. Main responsibilities: The overall purpose and main responsibilities are listed below: At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Senior Analyst – Data & Process Management”. We are looking for a team member to support our data management team based out of US. Robust data management is a priority for our businesses, as the product potential has major implications to a wide range of disciplines. It is essential to have someone who understands and aspires to implement innovative techniques to drive our data management strategies across franchises. He/she will ensure on time and accurate delivery of data requirements by collaborating with relevant stakeholders. He/she will ensure Data availability, data quality and data completeness are maintained as per requirements and are delivered in timely manner. Ensuring data consistency across the sources and downstream teams. Pro-actively identifying data requirements and gaps in system. Developing SOPs for data processes and leading the process enhancements. Providing training to end users on usage of data across the sources. Building advance tools and automate or improve processes for analytical and other needs People: Maintain effective relationship with the end stakeholders within the allocated GBU and tasks – with an end objective to develop education and communication content as per requirement Actively lead and develop SBO operations associates and ensure new technologies are leveraged Initiate the contracting process and related documents within defined timelines; and Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget Performance: Ensure data supplied by MDM is used effectively by stakeholders in commercial operations processes (forecasting targeting, call planning, alignments, field reporting, incentive compensation). Administer MDM activities related to the sales operations quarterly cycle. Monitor data quality reports and investigate problems. Maintain requirements documents, business rules and metadata. Provide first-level support for sales data inquiries. Provide ad-hoc support to US MDM colleagues. Works to develop deal tracking analytics and reporting capabilities Collaborates with Digital to enhance data access across various sources, develop tools, technology, and process to constantly improve quality and productivity Process: Contribute to overall quality enhancement by ensuring high standards for the output produced by the digital and data management team Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards Management of Quarterly operations for Customer Data on basis of specific frequency (weekly/monthly/quarterly/annually), along with QC checks for each refresh Manage opt out compliance for universe of healthcare professionals. Stakeholder: Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of with complete data availability. About you Experience : 5+ years of experience in pharmaceutical product commercial sales and Customer datasets, data governance and data stewardship. In-depth knowledge of common databases like Onekey, DHC, Medpro, DDD, IQVIA, XPO, LAAD CRM, IQVIA, APLD etc. Soft skills : Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team player who is curious, dynamic, result oriented and can work collaboratively; Ability to think strategically in an ambiguous environment; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Technical skills : At least 5+ years direct experience with pharmaceutical sales data and data management with the emphasis on syndicated data, Specialty Pharmacy, Customer data, Patient data, Sales Data and Vaccines. Strong technical background in Reltio, SQL, Python, AWS, Snowflake, SQL, Python, Informatica, Dataiku etc. Strong knowledge of pharmaceutical sales and marketing data sources (IQVIA, Veeva etc.) Knowledge of and/or experience in pharmaceuticals sales operations; understands how data is applied in a pharmaceutical’s commercial operations context. Ability to translate business needs into data requirement Understands the basic principles of data management and data processing. Understands the basic principles of data governance and data stewardship (data quality). Strong communication skills, including the ability to communicate the data management subject matter to a non-technical/unfamiliar internal customer. Experience of using analytical tools like Power BI, VBA and Alteryx etc. is a plus. Proficient of Excel/word/power point. An aptitude for problem solving and strategic thinking and ensuring high quality data output with strong quality assurance Ability to synthesize complex information into clear and actionable insights Proven ability to work effectively across all levels of stakeholders and diverse functions Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Effectively collaborate across differing levels of management, functions and role Strong decision-making skills, identifying key issues, developing solutions and gaining commitment Education : - Bachelor’s degree from an accredited four-year college or university. Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters) Languages : Excellent knowledge in English and strong communication skills – written and spoken Pursue Progress, discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Summary This role will play a critical role in supporting Novartis internal stakeholders by delivering high-quality, data-driven insights across complex analytical projects. This role requires hands-on experience with real-world patient-level data (e.g., claims, EHR) and a strong command of data processing tools such as SQL and DataIKU. You will be responsible for managing and transforming large, diverse datasets—including LAAD, Xponent, and SMART—into actionable insights that inform strategic decisions. This role will collaborate closely with cross-functional teams to define data specifications, build analytical frameworks, and contribute to the development of advanced analytics and APLD methodologies. A key part of your responsibility will be to drive standardization across brand reporting and maintain strong relationships with key stakeholders. This role demands a proactive mindset, strong communication skills, and the ability to thrive in a fast-paced, global environment. About the Role Key responsibilities Provide analytics support to Novartis internal customers on various high complexity analytical reports. Working knowledge of multiple datasets e.g. LAAD, Xponent, SMART etc. and managing and organizing data sets from databases to find patterns and trends in data. Transforming these complex and granular data into actionable insights. Putting together specifications to extract/transform data into required formats for different analytical elements using SQL/DSS or other data processing tools. Require experience in quantitative analysis with a demonstrated focus in analytics, and experience with coding languages (SQL OR Python) to query and extract data. Also, experience with BI tools, working with very large data sets is a plus. Create the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional stakeholders. Takes initiative to drive standardization of reports across brands. Essential Requirements : Masters/ Bachelor’s in technology/ life-sciences/ management Minimum of 3+ years’ experience processing and analyzing real world patient level data (Claims data/EHR etc.,). Expertise in SQL, DataIKU and/or other data processing tool. Knowledge of Statistical modeling or ML is a plus. Understanding of healthcare terminology and real-world patient level data Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division US Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Summary Digital Analytics Manager, Digital Analytics will support the generation of insights for the IDS LT and GM teams. The role’s primary goal will be to optimize our digital presence and drive data-driven decision-making across all digital channels. This role requires a deep understanding of digital analytics tools, methodologies, and best practices, providing strategic direction of our marketing campaigns and preparation of key deliverables according to project needs, ensuring timely completion and quality under the guidance of experienced team members (D/AD, SM). The role requires candidate to have strong business acumen, analytical capability and strategic context to understand the ask, identify exploration avenues within data landscape and arrive at insights and recommendations to drive business impact. About the Role Key Responsibilities Stakeholder management and work with cross-functional teams to understand business challenges, consult and provide data-driven solutions Drive discussions with Brand, Marketing, and CXPO teams to assess and identify data points, understand user-journeys for HCPs and Patients, and cross-channel campaign performance insights for Experience Optimization Rooms Understand Lead-generation methods for Novartis and be able to evaluate channel contributions for the same Lead processes of designing and implementing key performance indicators and metrics, as well as in the tracking and analysis of these parameters to measure success and identify areas for improvements Lead creation of actionable data-driven goals and benchmarks across Digital Media for performance evaluation and improvements, eg: HQE and Website Performance Benchmarks Work as a functional SME to create opportunities for process improvement, drive automation and build knowledge working with engagement lead Advanced knowledge of Digital Marketing touchpoints like Social Media Marketing, Display/Programmatic Banners, Email Analytics, Website/Microsite Analytics, SEM, SEO, Cross-channel analytics, etc. Being able to create powerful storylines that drive business impact with key takeaways, concise visualizations and robust recommendations, creative storytelling is good to have Use data analytics to derive an understanding of customer behaviour, apply segmentation and predictive methods to improve marketing effectiveness Knowledge of SQL is essential for querying and manipulating data from databases Expertise in multi-channel analytics understand reporting systems like Salesforce MCI to track KPIs digital marketing datasets Create visualizations of data through reports and dashboards to articulate data patterns and trends effectively. Presentation skills and storyboarding is a must Pharma digital marketing landscape knowledge is recommended Minimum Requirement Strong analytical thinking with problem solving approach 5 years of experience processing and analysing marketing data, pharma datasets, digital marketing data, and other relevant datasets Expertise in SQL, DataIKU and/or other data processing tool. Knowledge of Statistical modeling or ML is a plus Experience working with MS Excel, Access, PowerPoint, SQL Experience on programming tools such as R, Python is desirable Experience on datasets such as APLD, Partner Data, Broad Media, etc. is desirable Experience in working in a matrix and geographically dispersed environment Ability to engage stakeholders and influence strategic decision-making Desired Requirement Graduate degree in an analytical field/ Life Sciences/ Pharmacy/ Medicine/ Science & Technology is minimum A specialization in Data Science is desirable Fluency in English is a pre-requisite Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division US Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Job title : Analyst - Data & Process Management Location : Hyderabad % of travel expected : Travel required as per business need, if any Job type : Permanent and Full time About the job Our Team: Sanofi Business Operation (SBO) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. SBO strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally. Main responsibilities: The overall purpose and main responsibilities are listed below: At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Deliverables support planning and decision making across multiple commercial areas such as Analytics, Campaign Ops and market mix. In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Analyst – Data & Process Management”. We are looking for a team member to support our data management team based out of US. Robust data management is a priority for our businesses, as the product potential has major implications to a wide range of disciplines. It is essential to have someone who understands and aspires to implement innovative techniques to drive our data management strategies across franchises. He/she will ensure on time and accurate delivery of data requirements by collaborating with relevant stakeholders. He/she will ensure Data availability, data quality and data completeness are maintained as per requirements and are delivered in timely manner. Ensuring data consistency across the sources and downstream teams. Pro-actively identifying data requirements and gaps in system. Developing SOPs for data processes and leading the process enhancements. Providing training to end users on usage of data across the sources. Building advance tools and automate or improve processes for analytical and other needs People: Maintain effective relationship with the end stakeholders within the allocated GBU and tasks – with an end objective to develop education and communication content as per requirement Actively lead and develop SBO operations associates and ensure new technologies are leveraged Initiate the contracting process and related documents within defined timelines; and Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget Performance: Ensure data supplied by CDM is used effectively by stakeholders in commercial operations processes (forecasting targeting, call planning, alignments, field reporting, incentive compensation). Administer CDM activities related to the sales operations quarterly cycle. Monitor data quality reports and investigate problems. Maintain requirements documents, business rules and metadata. Provide first-level support for sales data inquiries. Provide ad-hoc support to US CDM colleagues. Works to develop deal tracking analytics and reporting capabilities Collaborates with Digital to enhance data access across various sources, develop tools, technology, and process to constantly improve quality and productivity Process: Contribute to overall quality enhancement by ensuring high standards for the output produced by the digital and data management team; and Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards Refresh reports on frequency/cycle basis (weekly/monthly/quarterly/annually), along with QC checks for each refresh Manage opt out compliance for universe of healthcare professionals. Stakeholder: Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of with complete data availability. About you Experience : 2+ years of experience in pharmaceutical product commercial omni channel datasets, data governance and data stewardship. In-depth knowledge of common databases like IQVIA, APLD, SFMC, Google analytics, HCP Engagement data and execution data, etc. Soft skills : Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team player who is curious, dynamic, result oriented and can work collaboratively; Ability to think strategically in an ambiguous environment; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Technical skills : At least 2+ years direct experience with pharmaceutical sales data and data management with the emphasis on syndicated data, Specialty Pharmacy and digital/omnichannel data. Strong technical background in AWS, Snowflake, Data Bricks, SQL, Python, Informatica, Dataiku etc. Strong knowledge of pharmaceutical sales and marketing data sources (IQVIA, Veeva etc.) Knowledge of and/or experience in pharmaceuticals sales operations; understands how data is applied in a pharmaceutical’s commercial operations context. Ability to translate business needs into data requirement Understands the basic principles of data management and data processing. Understands the basic principles of data governance and data stewardship (data quality). Strong communication skills, including the ability to communicate the data management subject matter to a non-technical/unfamiliar internal customer. Experience of using analytical tools like Power BI, VBA and Alteryx etc is a plus. Proficient of Excel/word/power point. An aptitude for problem solving and strategic thinking and ensuring high quality data output with strong quality assurance Ability to synthesize complex information into clear and actionable insights Proven ability to work effectively across all levels of stakeholders and diverse functions Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Effectively collaborate across differing levels of management, functions and role Strong decision-making skills, identifying key issues, developing solutions and gaining commitment Education : Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters) Languages : Excellent knowledge in English and strong communication skills – written and spoken Pursue Progress, discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Summary -Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. About the Role Key Responsibilities Provide analytics support to Novartis internal customers on various high complexity analytical reports. Working knowledge of multiple datasets e.g. LAAD, Xponent, SMART etc. and managing and organizing data sets from databases to find patterns and trends in data. Transforming these complex and granular data into actionable insights. Putting together specifications to extract/transform data into required formats for different analytical elements using SQL/DSS or other data processing tools. Require experience in quantitative analysis with a demonstrated focus in analytics, and experience with coding languages (SQL OR Python) to query and extract data. Also, experience with BI tools, working with very large data sets is a plus. Create the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional stakeholders. Takes initiative to drive standardization of reports across brands. Essential Requirements : Masters/ bachelor’s in technology/ life-sciences/ management Minimum of 2 + years’ experience processing and analyzing real world patient level data (Claims data/EHR etc.,). Expertise in SQL, DataIKU and/or other data processing tool. Knowledge of Statistical modeling or ML is a plus. Understanding of healthcare terminology and real-world patient level data Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process Desired Requirements : Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division US Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

We are seeking a highly skilled Dataiku Subject Matter Expert (SME) to support our team for a short-term engagement of 4 months. The ideal candidate will provide hands-on guidance, address technical queries, demonstrate platform functionalities, and enable the team with best practices and maintenance procedures in Dataiku DSS. Work Mode: Remote Key Responsibilities: Act as the primary go-to expert for Dataiku DSS. Respond to team queries and troubleshoot issues. Demonstrate and teach how to perform common tasks within the platform. Provide support in project setup, data pipelines, flow design, and model deployment. Guide the team on typical maintenance activities (e.g., job scheduling, performance tuning, project clean-up). Offer best practices for collaborative workflows and version control in Dataiku. Ensure team is able to work independently by the end of the engagement. Required Skills and Experience: 3+ years of hands-on experience with Dataiku DSS. Proven expertise in data preparation, visualization, model training, and deployment using Dataiku. Experience with Python, SQL, and common data integration methods. Familiarity with Dataiku APIs, plugins, scenarios, and automation features. Strong communication skills. Start date: July 10, 2025

Dataiku Role Overview: The Dataiku Developer will be responsible for developing, maintaining, and optimizing data pipelines, workflows, and machine learning projects within the Dataiku Data Science Studio (DSS) environment, supporting analytics, reporting, and decision support needs. Key Responsibilities: Design, build, and manage data workflows and pipelines in Dataiku DSS . Integrate data from multiple sources including AWS, databases, APIs, and flat files. Collaborate with data engineering and business teams to translate requirements into scalable data solutions. Implement data validation, error handling, and monitoring processes within Dataiku. Support model deployment, scheduling, and performance optimization within the Dataiku environment. Maintain documentation and version control for Dataiku projects and pipelines. Preferred Experience: 4+ years of experience in data engineering or analytics development roles. Hands-on experience with Dataiku DSS , SQL, Python, and data wrangling. Familiarity with AWS services, APIs, and data integration tools. Understanding of data quality, pipeline performance optimization, and analytics workflows.

Greetings from IDESABS , We have urgent requirement on SAS Developer Job details Location: Chennai Exp: 5 + Job Type: Permanent Interview mode: F2F Note: Work from OFFICE Here is the job description Primary & Secondary Skills: Dataiku; Python; Spark SQL; SAS; Advanced Excel Exp: 3+ to 6 years Good understanding on Retail Banking business SAS / Python / Spark SQ Advanced MSTR / Tableau / Power BI (optional)

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. Dataiku is looking for an Enterprise Account Executive for non-named accounts to join our growth market in India. This role consists of engaging prospects and new customers across our India market about their related initiatives to help them develop a more efficient approach, leveraging our platform DSS. The Enterprise Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. The Enterprise Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering. How You'll Make An Impact Target Greenfield Opportunities: Identify and engage non-named enterprise accounts with revenue > $1B and >1,000 employees. Inside Sales Excellence: Deliver compelling first-meeting presentations and online product demos to accelerate deal cycles. High-Velocity Transactions: Focus on efficient and scalable deal execution to meet aggressive targets. Channel Partner Collaboration: Leverage relationships with channel resellers to maximize market coverage and opportunity generation. Demand Generation: Work closely with marketing to design and execute effective demand-generation campaigns targeting priority accounts. New Logo Focus: Drive measurable success by securing net new customer accounts (lands), with performance measured by logo count, not bookings value. What You'll Need To Be Successful At least 3-5 years experience in software sales with a proven track record of success in a hunter sales role, landing new logos in enterprise markets. Skilled in conducting engaging, high-impact online presentations and product demos. Experience working with channel resellers to extend market reach and accelerate sales cycles. Ability to collaborate with marketing on targeted campaigns and lead-generation strategies. Strong interpersonal and negotiation skills, with a passion for closing deals in competitive environments. What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Senior Analyst - Data Science Descriptions: We are looking for a results-driven and hands-on Lead Data Scientist / Analyst with 5–6 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a central role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members. Key Responsibilities: • Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions. • Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies. • Analyze large and complex datasets across sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data. • Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams. • Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling. • Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models. • Ensure data quality through systematic QC checks, test case creation, and validation frameworks. • Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows. • Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics. • 5+ years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling. • At least 3 years of experience developing and deploying predictive models and ML pipelines in real-world settings. • Proven experience with data platforms such as Snowflake, Dataiku, AWS, and proficiency in PySpark, Python, and SQL. • Experience with MLOps practices, including version control, model monitoring, and automation. • Strong understanding of pharmaceutical data assets (e.g., APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement). • Proficiency in ML algorithms (e.g., XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP). • Experience in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering. • Hands-on expertise in building explainable ML models and using tools for model monitoring and retraining. • Familiarity with dashboarding tools like Tableau or PowerBI is a plus. • Strong communication and documentation skills to effectively convey findings to both technical and non-technical audiences. • Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines. Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.

Job title : Analyst - Data & Process Management Location: Hyderabad % of travel expected: Travel required as per business need, if any Job type: Permanent and Full time About The Job Our Team: Sanofi Business Operation (SBO) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions . SBO strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally. Main Responsibilities The overall purpose and main responsibilities are listed below: At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Deliverables support planning and decision making across multiple commercial areas such as Analytics, Campaign Ops and market mix. In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Analyst – Data & Process Management”. We are looking for a team member to support our data management team based out of US. Robust data management is a priority for our businesses, as the product potential has major implications to a wide range of disciplines. It is essential to have someone who understands and aspires to implement innovative techniques to drive our data management strategies across franchises. He/she will ensure on time and accurate delivery of data requirements by collaborating with relevant stakeholders. He/she will ensure Data availability, data quality and data completeness are maintained as per requirements and are delivered in timely manner. Ensuring data consistency across the sources and downstream teams. Pro-actively identifying data requirements and gaps in system. Developing SOPs for data processes and leading the process enhancements. Providing training to end users on usage of data across the sources. Building advance tools and automate or improve processes for analytical and other needs People: Maintain effective relationship with the end stakeholders within the allocated GBU and tasks – with an end objective to develop education and communication content as per requirement Actively lead and develop SBO operations associates and ensure new technologies are leveraged Initiate the contracting process and related documents within defined timelines; and Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget Performance: Ensure data supplied by CDM is used effectively by stakeholders in commercial operations processes (forecasting targeting, call planning, alignments, field reporting, incentive compensation). Administer CDM activities related to the sales operations quarterly cycle. Monitor data quality reports and investigate problems. Maintain requirements documents, business rules and metadata. Provide first-level support for sales data inquiries. Provide ad-hoc support to US CDM colleagues. Works to develop deal tracking analytics and reporting capabilities Collaborates with Digital to enhance data access across various sources, develop tools, technology, and process to constantly improve quality and productivity Process: Contribute to overall quality enhancement by ensuring high standards for the output produced by the digital and data management team; and Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards Refresh reports on frequency/cycle basis (weekly/monthly/quarterly/annually), along with QC checks for each refresh Manage opt out compliance for universe of healthcare professionals. Stakeholder: Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of with complete data availability. About You Experience: 2+ years of experience in pharmaceutical product commercial omni channel datasets, data governance and data stewardship. In-depth knowledge of common databases like IQVIA, APLD, SFMC, Google analytics, HCP Engagement data and execution data, etc. Soft skills: Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team player who is curious, dynamic, result oriented and can work collaboratively; Ability to think strategically in an ambiguous environment; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Technical skills: At least 2+ years direct experience with pharmaceutical sales data and data management with the emphasis on syndicated data, Specialty Pharmacy and digital/omnichannel data. Strong technical background in AWS, Snowflake, Data Bricks, SQL, Python, Informatica, Dataiku etc. Strong knowledge of pharmaceutical sales and marketing data sources (IQVIA, Veeva etc.) Knowledge of and/or experience in pharmaceuticals sales operations; understands how data is applied in a pharmaceutical’s commercial operations context. Ability to translate business needs into data requirement Understands the basic principles of data management and data processing. Understands the basic principles of data governance and data stewardship (data quality). Strong communication skills, including the ability to communicate the data management subject matter to a non-technical/unfamiliar internal customer. Experience of using analytical tools like Power BI, VBA and Alteryx etc is a plus. Proficient of Excel/word/power point. An aptitude for problem solving and strategic thinking and ensuring high quality data output with strong quality assurance Ability to synthesize complex information into clear and actionable insights Proven ability to work effectively across all levels of stakeholders and diverse functions Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Effectively collaborate across differing levels of management, functions and role Strong decision-making skills, identifying key issues, developing solutions and gaining commitment Education: Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters) Languages: Excellent knowledge in English and strong communication skills – written and spoken Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null

Job Title Location: Hyderabad % of travel expected: Travel required as per business need, if any Job type: Permanent and Full time Our Team Sanofi Business Operation (SBO) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions . SBO strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, Globally. Main Responsibilities The overall purpose and main responsibilities are listed below: At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Senior Analyst – Data & Process Management”. We are looking for a team member to support our data management team based out of US. Robust data management is a priority for our businesses, as the product potential has major implications to a wide range of disciplines. It is essential to have someone who understands and aspires to implement innovative techniques to drive our data management strategies across franchises. He/she will ensure on time and accurate delivery of data requirements by collaborating with relevant stakeholders. He/she will ensure Data availability, data quality and data completeness are maintained as per requirements and are delivered in timely manner. Ensuring data consistency across the sources and downstream teams. Pro-actively identifying data requirements and gaps in system. Developing SOPs for data processes and leading the process enhancements. Providing training to end users on usage of data across the sources. Building advance tools and automate or improve processes for analytical and other needs People: Maintain effective relationship with the end stakeholders within the allocated GBU and tasks – with an end objective to develop education and communication content as per requirement Actively lead and develop SBO operations associates and ensure new technologies are leveraged Initiate the contracting process and related documents within defined timelines; and Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget Performance: Ensure data supplied by MDM is used effectively by stakeholders in commercial operations processes (forecasting targeting, call planning, alignments, field reporting, incentive compensation). Administer MDM activities related to the sales operations quarterly cycle. Monitor data quality reports and investigate problems. Maintain requirements documents, business rules and metadata. Provide first-level support for sales data inquiries. Provide ad-hoc support to US MDM colleagues. Works to develop deal tracking analytics and reporting capabilities Collaborates with Digital to enhance data access across various sources, develop tools, technology, and process to constantly improve quality and productivity Process: Contribute to overall quality enhancement by ensuring high standards for the output produced by the digital and data management team Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards Management of Quarterly operations for Customer Data on basis of specific frequency (weekly/monthly/quarterly/annually), along with QC checks for each refresh Manage opt out compliance for universe of healthcare professionals. Stakeholder: Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of with complete data availability. About You Experience: 5+ years of experience in pharmaceutical product commercial sales and Customer datasets, data governance and data stewardship. In-depth knowledge of common databases like Onekey, DHC, Medpro, DDD, IQVIA, XPO, LAAD CRM, IQVIA, APLD etc. Soft skills: Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team player who is curious, dynamic, result oriented and can work collaboratively; Ability to think strategically in an ambiguous environment; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Technical skills: At least 5+ years direct experience with pharmaceutical sales data and data management with the emphasis on syndicated data, Specialty Pharmacy, Customer data, Patient data, Sales Data and Vaccines. Strong technical background in Reltio, SQL, Python, AWS, Snowflake, SQL, Python, Informatica, Dataiku etc. Strong knowledge of pharmaceutical sales and marketing data sources (IQVIA, Veeva etc.) Knowledge of and/or experience in pharmaceuticals sales operations; understands how data is applied in a pharmaceutical’s commercial operations context. Ability to translate business needs into data requirement Understands the basic principles of data management and data processing. Understands the basic principles of data governance and data stewardship (data quality). Strong communication skills, including the ability to communicate the data management subject matter to a non-technical/unfamiliar internal customer. Experience of using analytical tools like Power BI, VBA and Alteryx etc. is a plus. Proficient of Excel/word/power point. An aptitude for problem solving and strategic thinking and ensuring high quality data output with strong quality assurance Ability to synthesize complex information into clear and actionable insights Proven ability to work effectively across all levels of stakeholders and diverse functions Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques Effectively collaborate across differing levels of management, functions and role Strong decision-making skills, identifying key issues, developing solutions and gaining commitment Education: - Bachelor’s degree from an accredited four-year college or university. Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters) Languages: Excellent knowledge in English and strong communication skills – written and spoken Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null

Role & responsibilities Strong proficiency in SQL and experience with database management systems. Strong proficiency in Geospatial Analysis. Strong proficiency in data analytics tools such as Dataiku and Tableau. Extensive experience with data modelling, data transformation, and data analysis. Strong understanding of ETL processes and data integration techniques. Good to have skills: Familiarity with programming languages such as Python is a plus. Knowledge of cloud platforms such as AWS, Azure, or GCP is beneficial. Experience with version control systems like Git.

Summary Digital Analytics Manager, Digital Analytics will support the generation of insights for the IDS LT and GM teams. The role’s primary goal will be to optimize our digital presence and drive data-driven decision-making across all digital channels. This role requires a deep understanding of digital analytics tools, methodologies, and best practices, providing strategic direction of our marketing campaigns and preparation of key deliverables according to project needs, ensuring timely completion and quality under the guidance of experienced team members (D/AD, SM). The role requires candidate to have strong business acumen, analytical capability and strategic context to understand the ask, identify exploration avenues within data landscape and arrive at insights and recommendations to drive business impact. About The Role Key Responsibilities Stakeholder management and work with cross-functional teams to understand business challenges, consult and provide data-driven solutions Drive discussions with Brand, Marketing, and CXPO teams to assess and identify data points, understand user-journeys for HCPs and Patients, and cross-channel campaign performance insights for Experience Optimization Rooms Understand Lead-generation methods for Novartis and be able to evaluate channel contributions for the same Lead processes of designing and implementing key performance indicators and metrics, as well as in the tracking and analysis of these parameters to measure success and identify areas for improvements Lead creation of actionable data-driven goals and benchmarks across Digital Media for performance evaluation and improvements, eg: HQE and Website Performance Benchmarks Work as a functional SME to create opportunities for process improvement, drive automation and build knowledge working with engagement lead Advanced knowledge of Digital Marketing touchpoints like Social Media Marketing, Display/Programmatic Banners, Email Analytics, Website/Microsite Analytics, SEM, SEO, Cross-channel analytics, etc. Being able to create powerful storylines that drive business impact with key takeaways, concise visualizations and robust recommendations, creative storytelling is good to have Use data analytics to derive an understanding of customer behaviour, apply segmentation and predictive methods to improve marketing effectiveness Knowledge of SQL is essential for querying and manipulating data from databases Expertise in multi-channel analytics understand reporting systems like Salesforce MCI to track KPIs digital marketing datasets Create visualizations of data through reports and dashboards to articulate data patterns and trends effectively. Presentation skills and storyboarding is a must Pharma digital marketing landscape knowledge is recommended Minimum Requirement Strong analytical thinking with problem solving approach 5 years of experience processing and analysing marketing data, pharma datasets, digital marketing data, and other relevant datasets Expertise in SQL, DataIKU and/or other data processing tool. Knowledge of Statistical modeling or ML is a plus Experience working with MS Excel, Access, PowerPoint, SQL Experience on programming tools such as R, Python is desirable Experience on datasets such as APLD, Partner Data, Broad Media, etc. is desirable Experience in working in a matrix and geographically dispersed environment Ability to engage stakeholders and influence strategic decision-making Desired Requirement Graduate degree in an analytical field/ Life Sciences/ Pharmacy/ Medicine/ Science & Technology is minimum A specialization in Data Science is desirable Fluency in English is a pre-requisite Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards