221 Dataiku Jobs

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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