359 Dataiku Jobs - Page 7

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

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

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

Responsible for work on Data Science/Advance analytics using Python and SQL. Application of advanced statistical & predictive analytics and machine learning models to solve business problems. Required Candidate profile Practical modeling exp specifically around quantitative and analytical skills and/or Natural Language Processing (NLP) using LLMs is required. Should be from pharma / biotech / healthcare industry

Job Title: Senior Data Quality Assurance Analyst Career Level :: D Introduction To Role Are you ready to play a pivotal role in transforming data quality within a global pharmaceutical environment? Join our Operations Global Data Office as a Senior Data Quality Assurance Analyst, where you'll be instrumental in developing solutions to enhance data quality within our SAP systems. Your expertise will drive the creation of data quality rules and dashboards, ensuring alignment to standards and governance policies. Collaborate with data stewards and business owners to develop code for monitoring and measuring data quality, focusing on root cause analysis and prevention of data issues. Are you solution-oriented and passionate about testing? This is your chance to make a significant impact! Accountabilities Develop and support the creation of data quality dashboards in Power BI by extracting data from various Global SAP systems into Snowflake. Work extensively with collaborators to define requirements for continuous data quality monitoring. Provide extensive data analysis and profiling across a wide range of data objects. Develop and implement the data quality framework and operating model. Focus on high levels of process automation to ensure data and results are up-to-date. Conduct extensive data analysis to detect incorrect patterns in critical data early. Facilitate matching or linking multiple data sources together for continuous DQ monitoring. Embed ongoing data quality monitoring by setting up mechanisms to track issues and trends. Conduct root cause analysis to understand causes of poor quality data. Train, coach, and support data owners and stewards in managing data quality. Essential Skills/Experience Experience developing and supporting the creation of data quality dashboards in Power BI, by extracting data from various Global SAP systems into Snowflake and develop rules for identifying DQ issues using Acceldata or something similar. Demonstrated experience & domain expertise within data management disciplines, including the three pillars of data quality, data governance and data architecture. Advanced programming skills in T-SQL or similar, to support data quality rule creation. Advanced data profiling and analysis skills evidenced by use of at least one data profiling analysis tool. For example, Adera, DataIKU or Acceldata. Strong ETL automation and reconciliation experience. Expert in extracting and manipulating and joining data in all its various formats. Excellent visualizing experience, using Power BI or similar for monitoring and reporting data quality issues. Key aspect of the role is to create self-serve data quality dashboards for the business to use for defect remediation and trending. Excellent written and verbal communication skills with the ability to influence others. to achieve objectives. Experience in Snowflake or similar for data lakes. Strong desire to improve the quality of data and to identify the causes impacting good data quality. Experience of Business and IT partnering for the implementation of Data Quality KPIs and visualisations. Strong Team member management skills with a good attention to detail. Ability to work in fast-paced, dynamic environment and manage multiple streams of work simultaneously. Experience of working in a global organisation, preferably within the pharmaceuticals industry. Experience of working in global change projects. Extensive knowledge of data quality with the ability to develop and mature the data quality operating model and framework. Knowledge of at least one standard data quality tool. For example, Acceldata, Alteryx, Aperture, Trillium, Ataccama or SAS Viya. Desirable Skills/Experience Using one of the following data lineage or governance tools or similar. For example, Talend or Collibra. Experience in working in a complex MDG SAP data environment. Experience of any of the following for data cleansing – Winshuttle or Aperture Working within a lean environment and knowledge of data governance methodologies and standards. Knowledge of automation and scheduling tools. Extensive knowledge of risk and data compliance. Experience in data observability using AI pattern detection. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, innovation is at the heart of everything we do. We embrace change by trialing new solutions with patients and business needs in mind. Our diverse workforce is united by curiosity, sharing findings, and scaling fast. Be part of a digitally-enabled journey that impacts society, the planet, and our business by delivering life-changing medicines. Ready to make a difference? Apply now! Date Posted 29-May-2025 Closing Date 30-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

5+ years experience inTeradata. Good inTeradata, should know BTEQ scripts, FastLoad, MLoad Experience Informatica Power Center experience Good in Writing SQL queries using Joins, Essential to have DataIKU tool proficient knowledge Proficient in Python Scripting Read logs. Can Script, Can automate script, can build Server

Job Description Manager, Data Visualization Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. 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 As a Manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What Will You Do In This Role Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. Provide training & coaching to internal stakeholders to enable a self-service operating model. Co-create information governance & apply data privacy best practices to solutions. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace. What Should You Have 5 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.) Experience in leveraging and managing third party vendors and contractors. Self-motivation, proactivity, and ability to work independently with minimum direction. Excellent interpersonal and communication skills Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity. Experience in Pharma and or Biotech Industry is a plus. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 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 Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/7/2025 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 R335923

Your specific responsibilities will include: Design and implementation of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education: B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field. Required experience: 8+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred Experience: Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science andvisualization/reportingproducts, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI)

Drive product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions Define and monitor Product Success metrics and criteria at incremental product development phases, and product adoption Facilitate cross-functional collaboration with engineering, marketing, and sales teams to align on product goals and roadmap planning for automation/improvements as per business needs Effectively communicate progress, challenges, learning and success stories to key stakeholders Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams Gather user feedback to refine product features. Evaluate technical feasibility of new product features and enhancements. Ensure smooth handoff of product requirements to development teams Lead creation of benchmark techniques being deployed across multiple product development strategies Identify cutting-edge trends and best practices in the market to improve product positioning Qualifications Education & Work Experience Requirements: Bachelor s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least6+years relevant experience Master s degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 4+ years work experience 2+ Years of Productmanagement or Software development experience Skillset: Candidates must have- Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus Experience in Software Development and Engineering, and Analytics Delivery Expertise in developing scalable, secure, and modular product architectures Proficiency in designing & implementing data structure, pipeline & architecture Hands-on experience with product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong problem solving, criticalthinking,business analysis and quantitative skills Story Boarding - Ability to effectively communicate proposals to key stakeholders Understanding of end-to-end Pharma commercial landscape Understanding of analytics tools like Tableau,PowerBI, Dataikuetc Candidates are desired but not mandatory to have- Experience with data science principles, machine learning (supervised and unsupervised) andGenAIalgorithms, test-control analysis, A/B testing,propensity score matching etc. Experience working with healthcare, financial, or enterprise SaaS products Experience with Marketing Mix Modeling and optimization with underlying concepts such as ad-stock, decay, interaction and halo effects etc. Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Drive product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions Define and monitor Product Success metrics and criteria at incremental product development phases, and product adoption Facilitate cross-functional collaboration with engineering, marketing, and sales teams to align on product goals and roadmap planning for automation/improvements as per business needs Effectively communicate progress, challenges, learning and success stories to key stakeholders Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams Gather user feedback to refine product features. Evaluate technical feasibility of new product features and enhancements. Ensure smooth handoff of product requirements to development teams Lead creation of benchmark techniques being deployed across multiple product development strategies Identify cutting-edge trends and best practices in the market to improve product positioning Qualifications Education & Work Experience Requirements: Bachelor s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least6+years relevant experience Master s degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 4+ years work experience 2+ Years of Productmanagement or Software development experience Skillset: Candidates must have- Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus Experience in Software Development and Engineering, and Analytics Delivery Expertise in developing scalable, secure, and modular product architectures Proficiency in designing & implementing data structure, pipeline & architecture Hands-on experience with product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong problem solving, criticalthinking,business analysis and quantitative skills Story Boarding - Ability to effectively communicate proposals to key stakeholders Understanding of end-to-end Pharma commercial landscape Understanding of analytics tools like Tableau,PowerBI, Dataikuetc Candidates are desired but not mandatory to have- Experience with data science principles, machine learning (supervised and unsupervised) andGenAIalgorithms, test-control analysis, A/B testing,propensity score matching etc. Experience working with healthcare, financial, or enterprise SaaS products Experience with Marketing Mix Modeling and optimization with underlying concepts such as ad-stock, decay, interaction and halo effects etc. Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions. About BNP Paribas Group BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability Commitment to Diversity and Inclusion At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. About Business Line/Function The Intermediate Holding Company (“IHC”) program structured at the U.S. level across poles of activities of BNP Paribas provides guidance, supports the analysis, impact assessment and drives adjustments of the U.S. platform’s operating model due to the drastic changes introduced by the Enhanced Prudential Standards (“EPS”) for Foreign Banking Organizations (“FBOs”) finalized by the Federal Reserve in February 2014, implementing Section 165 of U.S. Dodd-Frank Act. The IT Transversal Team is part of the Information Technology Group which works simultaneously on a wide range of projects arising from business, strategic initiatives, and regulatory changes and reengineering of existing applications to improve functionality and efficiency. Job Title Python Developer Date June-25 Department ITG- Fresh Location: Chennai, Mumbai Business Line / Function Finance Dedicated Solutions Reports To (Direct) Grade (if applicable) (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose The Python Developer will play a critical role in building and maintaining financial applications and tools that support data processing, analysis, and reporting within a fast-paced financial services environment. This position involves developing scalable and secure systems. The developer will collaborate with business analysts, finance users/or finance BA to translate complex business requirements into efficient, high-quality software solutions. A strong understanding of financial concepts, data integrity, and regulatory compliance is essential. The detailed responsibilities are mentioned below. Responsibilities Direct Responsibilities Proficient in object-oriented programming, especially Python, with a minimum of 6-8 years of core python development experience. Strong competency with Python libraries such as Pandas and NumPy for data wrangling, analysis, and manipulation. Expertise in PySpark for large-scale data processing and loading into databases. Proficiency in data querying and manipulation with Oracle and PostgreSQL. Strong communication skills to effectively collaborate with team members and stakeholders. Familiarity with the Software Development Life Cycle (SDLC) process and its various stages, including experience with JIRA and Confluence. Technical & Behavioral Competencies Proficient in object-oriented programming, especially Python, with a minimum of 6-8 years of core python development experience. Strong competency with Python libraries such as Pandas and NumPy for data wrangling, analysis, and manipulation. Expertise in PySpark for large-scale data processing and loading into databases. Proficiency in data querying and manipulation with Oracle and PostgreSQL. Strong communication skills to effectively collaborate with team members and stakeholders. Familiarity with the Software Development Life Cycle (SDLC) process and its various stages, including experience with JIRA and Confluence. Good analytical, problem solving, & communication skills Engage in technical discussions and to help in improving the system, process etc Nice to Have Familiarity with Plotly and Matplotlib for data visualization of large datasets. Skilled in API programming, handling JSON, CSV, and other unstructured data from various systems. Familiarity with JavaScript, CSS, and HTML. Experience with cloud architecture applications such as Dataiku or Databricks; competency with ETL tools. Knowledge of regulatory frameworks, RISK, CCAR, and GDPR. Skills Referential Specific Qualifications (if required) Behavioural Skills: (Please select up to 4 skills) Ability to collaborate / Teamwork Critical thinking Ability to deliver / Results driven Communication skills - oral & written Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to develop and adapt a process Ability to understand, explain and support change Ability To Develop Others & Improve Their Skills Choose an item. Education Level Bachelor Degree or equivalent Experience Level At least 5 years

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 5x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024) Fivetran, dbt, Atlation, Matillion Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in US, India and LATAM About You: You are a strategic thinker with a passion for building scalable, cloud-native solutions. With a strong technical background, you excel in driving data platform implementations and managing complex projects. Your expertise in platforms like Snowflake, AWS, and Azure is complemented by a deep understanding of how to align data infrastructure with strategic business goals. You have a proven track record in professional consulting, building scalable, secure solutions that optimize data platform performance. You thrive in environments that challenge you to think critically, lead technical teams, and optimize systems for continuous improvement. As a part of our Managed Services team, you are driven by a commitment to customer success and long-term growth. You embrace best practices, champion effective platform management, and contribute to the evolution of data platforms by promoting phData’s Operational Maturity Framework. Your approach is hands-on, collaborative, and results-oriented, making you a key player in ensuring clients' ongoing success. Key Responsibilities: Technical Leadership: Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure. Guide technical teams through data migration, integration, and performance optimization. Platform Optimization, Integration and Automation: Identify opportunities for automation and performance optimization to enhance client’s data platform capabilities. Lead data migration to cloud platforms (e.g., Snowflake, Redshift), ensuring smooth integration of data lakes, data warehouses, and distributed systems. Platform Security: Setting up a client's data platform with industry best practices & robust security standards including Data Governance. Process Engineering: Adapt to ongoing changes in platform environment, data, and technology by debugging, enhancing features, and re-engineering as needed. Plan ahead for changes to upstream data sources to minimize impact on users and systems, ensuring scalable adoption of modern data platforms. Consulting Leadership: Manage multiple customer engagements to ensure timely project delivery, optimize operations to prevent resource overruns, and maximize platform ROI. Serve as a trusted advisor, offering strategic guidance on data platform optimization and addressing technical challenges to meet business goals. Cross-functional Collaboration & Mentorship: Partner with sales, engineering, and support teams to ensure seamless project delivery and high customer satisfaction. Provide mentorship and technical guidance to junior engineers, promoting a culture of continuous learning and excellence. Key Skills and Experience: Required: Solutions Architecture: 10 years of hands-on experience of architecting, designing, implementing, and managing cloud-native data platforms and solutions. Client-Facing Skills: Strong communication skills, with experience presenting to executive stakeholders and creating detailed solution documentation. Data Platforms: Extensive experience managing enterprise data platforms (e.g., Snowflake, Redshift, Azure Data Warehouse) with strong skills in performance tuning and troubleshooting. Cloud Expertise: Deep knowledge of AWS, Azure, and Snowflake ecosystems, including services like S3, ADLS, Kinesis, Data Factory, DBT, and Kafka. IT Operations: Build and manage scalable, secure data platforms aligned with strategic goals. Excel at optimizing systems and driving continuous improvement in platform performance. SQL Mastery: Advanced proficiency in Microsoft SQL, including writing, debugging, and optimizing queries. DevOps and Infrastructure: Proficiency in infrastructure-as-code (IaC) tools like Terraform or CloudFormation, and experience with CI/CD pipelines (e.g., Bitbucket, GitHub). Data Integration Tools: Expertise with tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark. Preferred: Certifications: Snowflake SnowPro Core certification or equivalent. Python Proficiency: Experience using Python for task automation and operational efficiency. CI/CD Expertise: Hands-on experience with automated deployment frameworks, such as Flyway or Liquibase. Education: A Bachelor’s degree in Computer Science, Engineering, or a related field is highly preferred Advanced degrees or equivalent certifications are preferred. Why phData? We offer: Remote-First Workplace Medical Insurance for Self & Family Medical Insurance for Parents Term Life & Personal Accident Wellness Allowance Broadband Reimbursement 2-4 week bootcamp and provide continuous learning opportunities to enhance your skills and expertise Other perks include paid certifications, professional development allowance and additional compensation for creating company-approved content (dashboards, blogs, videos, whitepapers, etc.) phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 5x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024) Fivetran, dbt, Atlation, Matillion Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in US, India and LATAM Required Experience: 10+ years as a hands-on Solutions Architect and/or Data Engineer designing and implementing data solutions Team lead, and/or mentorship of other engineers Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration. Programming expertise in Java, Python and/or Scala Core cloud data platforms including Snowflake, Spark, AWS, Azure, Databricks and GCP SQL and the ability to write, debug, and optimize SQL queries Client-facing written and verbal communication skills and experience Create and deliver detailed presentations Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.) 4-year Bachelor's degree in Computer Science or a related field Prefer any of the following: Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies Multiple data sources (e.g. queues, relational databases, files, search, API) Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi Why phData? We Offer: Remote-First Workplace Medical Insurance for Self & Family Medical Insurance for Parents Term Life & Personal Accident Wellness Allowance Broadband Reimbursement Continuous learning and growth opportunities to enhance your skills and expertise Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Mandatory skills : Hands on exp in DataIku. Good in Python Coding, SQL, GIT Proven experience as a Data Engineer, Data Integration, Data Analyst. JD 7+ years of experience, including 2+ years of experience in delivering projects in DataIku platforms. Proficiency in configuring and optimizing Dataikus architecture, including data connections, security settings and workflow management. Hands-on experience with Dataiku recipes, Designer nodes, API nodes & Automation nodes with deployment. Expertise in python scripting, automation and development of custom workflows in Dataiku Collaborate with dataanalyst, business stakeholders and client to gather and understand the requirement. To contribute to the developments in DataIku environment to apply data integration with given logic to fulfil Bank Regulatory requirement and other customer requirement. Gather, analyse and interpretrequirement specifications received directly from the client. Ability to work independently and effectively in a fast-paced, dynamic environment. Strong analytical and problem-solving skills. Familiarity with agile development methodologies. Participate in the CR/Production deployment implementation process through Azure DevOps Mandatory Skills: Dataiku. Experience5-8 Years.

Overview: The Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions. Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives. Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists. Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience. Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions. Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI. Experience in a data science role, demonstrating practical experience and strong Python programming skills. Exposure to Business Intelligence (BI) & Data Engineering concepts and tools. Familiarity with data platforms such as Dataiku is a bonus. Skills: Solid understanding of Machine Learning principles and practical experience in Python programming. Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy). Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills. Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights. Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems. Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions. v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team.

Overview: The Associate Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions. Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives. Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists. Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience. Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions. Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI. Experience in a data science role, demonstrating practical experience and strong Python programming skills. Exposure to Business Intelligence (BI) & Data Engineering concepts and tools. Familiarity with data platforms such as Dataiku is a bonus. Skills: Solid understanding of Machine Learning principles and practical experience in Python programming. Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy). Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills. Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights. Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems. Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions. v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team.

Job Summary Stakeholder Management: Engage with senior stakeholders from CIB, Private Banking, and FP&A to gather requirements and translate business needs into technical solutions. Business-as-Usual (BAU) Operations: Oversee daily operations, ensuring the stability and accuracy of performance management dashboards and reports. Participate in projects covering full data lifecycle, end-to-end, from design, implementation, and testing, to documentation, delivery, support, and maintenance. Change Management: Drive digital transformation by supporting the migration from legacy data platforms to a modern technology stack. Data Engineering: Develop and optimize data pipelines, ensuring data accuracy, consistency, and accessibility for reporting. Team Leadership: Manage a team of three data professionals, providing guidance, setting priorities, and fostering a collaborative work environment. Process Improvement: Identify opportunities to enhance data processes, reporting efficiency, and automation. Understanding the financial processes end to end and working efficiently towards delivery of on demand CFO analytics to support specific business scenarios. Collaboration: Work closely with technology teams to implement scalable and efficient data solutions that meet business needs. Controls and governance – Ensure data integrity, security, and compliance with internal frameworks, implementing robust controls across reporting and data management process. Performing and documenting data analysis, data validation, and data mapping/design. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders GCFO COO Management & Leadership Team CFO – CIB, WRB and products Business Finance Teams Regional and Country CFOs TTO Finance and Functions Key Responsibilities Skills and Experience Process Management Data Visualization and Financial Reporting Project Planning and Agile Project Management Management of project scope Business Intelligence Identification & Management of project Risk/Assumptions/Issues/ Dependencies Proficiency in analytical tools and platforms Stakeholder Management Communication and presentation skills Banking Products Team Management SQL | PL-SQL Data Modelling | Data Pipeline | ETL Qualifications 10+ years of commercial project implementation experience ( Database | Data warehousing | ETL | BI | Big Data | Data Science ) Commercial experience working in Business Intelligence (SAP Analytics Cloud | Tableau | MS Power BI | MicroStrategy| Qlik ) Proficiency in SQL ( DML | DDL | DCL | TCL ) Commercial experience working on database/data warehouse projects ( Oracle | Exasol | SAP BW | Teradata ) Commercial experience creating ETL processes using data integration tools ( Dataiku | Informatica | Oracle DI | Talend | Datasphere | IBM DataStage) Effective communication skills, including presenting and influencing senior management. A high degree of integrity and ability to challenge the views and actions of others in a constructive manner Ability to work effectively under pressure, multi task, lead through ambiguities, influence where he/she does not have direct authority & build on unstructured formative situations A leader, a team player with the management ability and track record to secure the confidence and respect of the peers, stakeholders and the executive management team. Strong Analytical and Strategic mindset, coupled with a thorough understanding of business performance management outcomes Should have worked in a business finance function with strong FP&A background. Ability to understand and connect business drivers and rationale for and application of those relevant to the cost management process. Significant experience of working with senior management team and of interfacing with and influencing senior stakeholders. Strong ability to understand financial statements and its drivers and synthesize them into meaningful analyses as required. Develop analysis & interpretations as required to facilitate management decision making. Ability to culturally orient in diverse & international team environment and lead and inspire multi-disciplinary teams. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Role & responsibilities We are looking for MLOps/ML Engineer with Dataiku DSS platform with MNC company for permanent position, Remote. Preferred candidate profile We are seeking a skilled MLOps/ML Engineer to serve as our subject matter expert for Dataiku DSS. In this pivotal role, you will manage and scale our end-to-end machine learning operations, all of which are built on the Dataiku platform. Key responsibilities include designing automated data pipelines, deploying models as production APIs, ensuring the reliability of scheduled jobs, and championing platform best practices. Extensive, proven experience with Dataiku is mandatory. Data Pipeline Development: Design and implement Extract, Transform, Load (ETL) processes to collect, process, and analyze data from diverse sources. Workflow Optimization: Develop, configure, and optimize Dataiku DSS workflows to streamline data processing and machine learning operations. Integration: Integrate Dataiku DSS with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and big data technologies such as Snowflake, Hadoop, and Spark. AI/ML Model development & Implementation: Implement and optimize machine learning models within Dataiku for predictive analytics and AI-driven solutions. MLOps & Data Ops: Deployment of data pipelines and AI/ML models within the Dataiku platform. Dataiku Platform Management: Build, Manage & Support Dataiku platform. Automation: Automate data workflows, monitor job performance, and ensure scalable execution. Customization: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities. Dataiku Project Management: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities. Required Skills and Qualifications: Experience Level: 2 to 6 years of hands-on experience with Dataiku DSS platform and data engineering. Educational Background: Bachelors or Master’s degree in Computer Science, Data Science, Information Technology, or a related field. Technical Proficiency: Experience with Dataiku DSS platform. Strong programming skills in Python and SQL. Familiarity with cloud services (AWS, Azure, GCP) and big data technologies (Hadoop, Spark). Analytical Skills: Ability to analyze complex data sets and provide actionable insights. Problem-Solving: Strong troubleshooting skills to address and resolve issues in data workflows and models. Communication: Effective verbal and written communication skills to collaborate with team members and stakeholders.

Summary Novartis is looking for Senior Analyst for its International BA team. The Senior Analyst will be responsible for providing analytical support on high complexity reports to internal customers, contributing to business decision-making by commercial analytics data and identifying trends. The role includes working in multiple commercial analytics projects, exploring innovative solutions, and developing reporting platforms based on business inputs. The Senior Analyst will work collaboratively with various cross-functional teams to meet business requirements. They will also participate in performance tracking, knowledge sharing, and support day-to-day business-related tasks. The role requires being detail-oriented, having a knack for interpreting data trends and insights, and being adept at collaborative work. About the Role Key Responsibilities: Possess strong analytical skills to collect, organize, analyze, and disseminate significant amounts of information Interpret complex and granular data, Analyse results and derive actionable insights. Clearly communicate data-driven insights to stakeholders and influence decision-making processes Develop, maintain, and improve accurate, actionable, and insightful reporting solutions and dashboards Manage and organize data sets from databases to find patterns and trends in data while ensuring data integrity and accuracy Use data analytics to understand customer behavior and improve marketing effectiveness Drive standardization of reports across brands Establish and maintain positive relationships with key stakeholders and understand their perspectives Conduct extensive business process analysis to identify areas for process improvement and efficiency Stay informed on industry trends and developments to advise management on strategies for business growth Build and maintain standard operating procedures (SOPs), quality checklists to enable excellent quality outputs and knowledge repositories Minimum Requirements: MBA with Graduate / Postgraduate in Medicine (MD/MBBS/BDS) Pharmacy / Life Sciences/ bachelor’s degree in marketing, Statistics, or a related field. 3-6 years of proven ability in business analytics in a market research firm or pharmaceutical company or Pharma KPO/ Consulting 3-6 years of overall experience in digital marketing, web analytics, good knowledge of data modelling, SQL and robust technical problem-solving skills. Expertise in MS Excel, SQL, Power Query, and ETL tools like Alteryx, DataIKU, VBA, or KNIME. Knowledge of Statistical modelling or ML is preferred 3+ years of extensive experience working with Power BI Proficiency in statistical analysis tools (R, Python, or similar) will be preferred High agility to work across projects, dataset and technologies Excellent presentation and stakeholder management skills Exceptional written and verbal communication skills, with the ability to translate complex data into actionable insights Ability to operate optimally in an international matrix environment. Strong teammate who is dynamic and result oriented Understanding of healthcare terminology and real-world patient level data will be desirable Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance. Desired Skills: Preferred: Knowledge of the disease areas within the Pharma sector, with strong leadership and communication skills 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 Operations 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: Data Engineer (Dataiku) Location: Bangalore, Chennai, Noida, Hyderabad Experience: 7-10 Years Job Summary We are seeking an experienced Data Engineer with strong expertise in Dataiku , AWS cloud technologies , and Large Language Models (LLMs) . The ideal candidate will play a key role in building scalable data pipelines, deploying ML/LLM-based solutions, and driving analytics initiatives across the organization using modern data engineering practices. Required Skills & Experience 5+ years of experience in data engineering or related roles. Hands-on experience with Dataiku DSS (Data Science Studio) for building data pipelines and analytical workflows. Good understanding of LLMs, prompt engineering, and generative AI use cases. Strong command of AWS services – S3, Lambda, Glue, Redshift, SageMaker, etc. Proficient in Python, SQL, and data transformation techniques. Experience with REST APIs, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus. Familiarity with data modeling, ETL best practices, and cloud security standards.

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes. Heka.ai is the independent brand of Sia Partners dedicated to AI solutions. We host many AI-powered SaaS solutions that can be combined with consulting services or used independently, to provide our customers with solutions at scale. Job Description We are hiring a Power BI Developer to support our global internal teams (Finance, HR, Strategy, Corporate Functions) by delivering high-impact business intelligence dashboards, datasets, and analytics solutions. This role is critical for strengthening our internal reporting systems and driving data-backed decision-making across the organization. Key Responsibilities Design, maintain, and enhance internal Power BI dashboards and analytics for Corporate Finance and other functions. Manage Power BI Service administration tasks, including access control, workspace setup, and gateway configurations. Develop reusable data models using Power BI add-ons (Tabular Editor, DAX Studio, ALM Toolkit). Perform data ingestion, transformation, and enrichment using SQL/Python for structured reporting. Support cross-functional stakeholders with on-demand reporting requests and business data exploration. Maintain documentation for dashboards, models, and datasets; conduct demos, training sessions, and technical watch initiatives. Respond to ad-hoc requests across Power Platform tools (PowerApps, Power Automate). Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, or related field. Experience: 3+ years of experience developing with Power BI in a production or enterprise setting. Hands-on experience with cloud environments (Azure preferred; AWS/GCP a plus). Familiarity with UI/UX design principles for dashboards. Strong proficiency in: Power BI tools: DAX, Power Query (M), Tabular Models Data handling: SQL, Python ETL tools (preferred): Dataiku, Azure Data Factory, SSIS Certifications: Mandatory: PL-300 (Microsoft Certified: Data Analyst Associate) Preferred: PL-200: Power Platform Functional Consultant or PL-600: Power Platform Solution Soft Skills Strong analytical and problem-solving mindset with attention to detail. Collaborative team player with ability to work across functions and geographies. Proactive and self-motivated to own deliverables end-to-end. Excellent verbal and written communication skills in English, French is a plus. Additional Information What We Offer Opportunity to lead cutting-edge AI projects in a global consulting environment. Leadership development programs and training sessions at our global centers. A dynamic and collaborative team environment with diverse projects. Position based in Mumbai (onsite) Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief Introduction - Role Summary/Purpose The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Job Description Associate Specialist- Data Visualization 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 an Associate Specialist in Data Visualization, you will be developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Responsibilities: Develop user-centric scalable visualization and 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. Collaborating with Data Viz leads and stakeholders to define key metrics, KPIs, and reporting needs. Participate and contribute in 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. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Ensuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace Required Experience and skills: 2+ years of experience in business intelligence, insight generation, business analytics, data visualization, infographics, and interactive visual storytelling Hands-on expertise in BI and visualization tools such as Power BI, PowerApps, Qliksense, MicroStrategy, and ThoughtSpot Experience 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. Knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights is plus Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics is plus Experience in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Good problem-solving and communication skills, with the ability to interpret data and provide actionable insights while effectively working in cross-functional environments. Basic understanding of product management principles, focusing on developing user-centric, scalable analytical solutions aligned with business needs. Familiarity with agile ways of working, including exposure to Agile/Scrum methodologies and participation in iterative development and continuous improvement initiatives in data visualization and analytics projects. Strong learning agility, with the ability to quickly adapt to new tools, technologies, and business environments while continuously enhancing analytical and technical skills. 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: 07/31/2025 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: R335127