Senior Data Analyst - R&D Portfolio Data Strategy & Insights
Sanofi is hiring a Senior Data Analyst - R&D Portfolio Data Strategy & Insights in Hyderabad, India. Level rates it ; you can apply on Sanofi.
Level's read on this job
- Level rates this data analyst role Little AI ●○○○: aI is not part of the work.
- The posting mentions data analysis, master data management and data governance among its tools and skills.
- Level classes it as a senior role.
- Sanofi has 1,000+ other open roles on Level.
AI in this role
Senior Data Analyst maintaining reporting data infrastructure and advancing AI-ready data principles for R&D portfolios.
Senior Data Analyst - R&D Portfolio Data Strategy & Insights
Location: Hyderabad, India
About the job
As a Senior Data Analyst within our R&D Portfolio Data Strategy & Insights team, you'll play a critical role in maintaining the quality, consistency, and day-to-day management of the infrastructure of reporting data, operations data, and management information systems.
Working closely with cross-functional teams including Data Governance for Master Data Management (MDM) and the Digital Portfolio team, you'll support seamless data transitions and ensure data quality. This is a stewardship role as much as it is an analytical one. You will ensure definitions are well documented, consistent and adhere to enterprise standards, including advancing AI-ready data principles, standardizing and streamlining semantics that underpin key portfolio reporting products. In addition, maintaining the KPI definitions and calculations that leadership reporting depends on. Ready to make an impact?
About Sanofi:
We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.
Main responsibilities:
- Manage and maintain reporting data infrastructure to ensure accuracy, consistency, and timely delivery of management reports and dashboards
- Standardize and streamline the semantics cross functionally that underpin key portfolio reporting products to align with the standards set by the capability lead and adhere to enterprise standards.
- Maintain and validate that published KPI calculations match agreed definitions, and support the establishment of data fabric and other digital reporting products.
- Advance AI-ready data principles, including but not limited to FAIR-aligned, consistently defined, documented and lineage-traceable to enable reliable reporting by analytics and other GenAI and agentic applications.
- Collaborate with Master Data Management (MDM) teams to ensure data quality, governance, and alignment with enterprise data standards
- Partner with the Digital Portfolio team to support effective data transitions, system migrations, and knowledge transfer activities
- Develop documentation and maintain operations and management data workflows, ensuring seamless integration across platforms and stakeholders
- Analyze complex datasets to identify trends, anomalies, and opportunities for process improvement
- Create data visualizations and reports that translate technical data into actionable insights for leadership and cross-functional teams
- Support continuous improvement initiatives by documenting processes, identifying gaps, and recommending data management best practices
About you
- Experience: Proven 3-5 years’ of experience in data analysis, data management, or business intelligence roles with exposure to reporting systems and operations data
- Technical skills: Proficiency in data governance, MDM principles and metadata concepts, SQL, Planisware, Snowflake, Informatica, data visualization tools (e.g., Power BI, Tableau), working knowledge of PPM platforms.
- Semantics and AI-readiness: Strong understanding of semantic layers, business glossaries, controlled vocabulary and ontology concepts, KPI definition management, and of what makes data AI-ready.
- Collaboration: Strong ability to work across teams and geographies, with experience partnering with technical and business stakeholders
- Communication: Ability to present data clearly to non-technical audiences and to flag clearly where harmonization is needed.
- Problem-solving: Analytical mindset with strong attention to detail and ability to manage multiple priorities in a dynamic environment
- Education: Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Bioinformatics or related field
Why choose us?
- Impact: Contribute to life-changing R&D initiatives that improve patient outcomes globally
- Growth: Access to continuous learning, skill development programs, and career progression opportunities within a global biopharma leader
- Collaboration: Work with diverse, talented teams across functions and geographies in a culture that values boldness and innovation
- Technology: Leverage cutting-edge data platforms, AI-powered tools, and digital transformation initiatives
- Flexibility: Hybrid work options and a supportive work environment that values work-life balance
- Purpose: Be part of a mission-driven organization that chases the miracles of science to improve people's lives
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, ability or gender identity.
Pursue progress, discover extraordinaryBetter 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, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
How we rate this
Senior Data Analyst - R&D Portfolio Data Strategy & Insights at Sanofi rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $110k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where master data management was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where reporting was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Master Data Management, Data Governance, and Reporting. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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