Senior Data Analyst - RandD Portfolio Data Strategy And Insights

Sanofi; Hyderabad; Hybrid; INR 1,400,000 - 2,200,000; Full time

Job summary

Sanofi in Hyderabad, India is seeking a Senior Data Analyst to maintain and govern reporting data infrastructure and support data-driven decision making. You’ll work with cross-functional teams to ensure data quality, standardize semantics, and enable AI-ready analytics across KPI definitions.

The role emphasizes collaboration with MDM and Digital Portfolio teams, building dashboards and documentation, and guiding data transitions while adhering to enterprise standards.

Qualifications

• 3–5 years’ experience in data analysis, data management, or business intelligence with exposure to reporting systems and operations data
• Strong understanding of semantic layers, business glossaries, controlled vocabulary and ontology concepts, KPI definition management, and AI-ready data principles

Responsibilities

• Manage and maintain reporting data infrastructure to ensure accuracy, consistency, and timely delivery of management reports and dashboards
• Standardize and streamline semantics cross-functionally to align with enterprise standards
• Maintain and validate KPI calculations against definitions and support data fabric and digital reporting products
• Advance AI-ready data principles including FAIR-aligned definitions and data lineage for reliable analytics
• Collaborate with MDM teams to ensure data quality, governance, and alignment with standards
• Partner with Digital Portfolio team to support data transitions, system migrations and knowledge transfer
• Develop documentation and maintain data workflows, ensuring integration across platforms
• Analyze complex datasets to identify trends, anomalies, and improvement opportunities
• Create data visualizations and reports translating technical data into actionable leadership insights
• Support continuous improvement by documenting processes, identifying gaps, and recommending best practices

Skills

Data governance

MDM principles

Metadata concepts

AI-ready data

KPI definition management

Data quality

Data modeling

Education

Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Bioinformatics or related field

Tools

Planisware

Snowflake

Informatica

Power BI

Tableau

SQL

Job description

Job Description:

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.