Job Title: Real World Evidence (RWE) Data Analyst
Hiring Manager: RWE Lead, Sanofi Global Hub
Location: Hyderabad
% of Travel Expected: As per business need
Job Type: Permanent and Full-time
About the Job
Our Team:
Sanofi Global Hub (SGH) is an internal resource organization based in India, designed to centralize processes and activities that support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. SGH aims to be a strategic partner for tactical deliveries to Medical, HEVA, and Commercial organizations globally.
Main Responsibilities:
Data Analysis: Utilize statistical, analytical, and data management skills to analyze pre-existing data, collaborating with colleagues in health economics and value assessment (HEVA), medical affairs, business operations & strategy (BO&S), and commercial product teams.
Collaboration: Work with the RWE group in the Chief Digital Office to maintain Sanofi’s data assets through primary data collection, secondary data licensing, and de-identified clinical trial data.
Project Execution: Conduct analyses defined as “Conventional Projects” to provide insights for internal decisions, including:
Tool Mastery: Develop a comprehensive understanding of Sanofi’s suite of digital tools and platforms to effectively execute analyses.
Data Maintenance: Ensure the upkeep of Sanofi data assets through primary data collection and integration of secondary data sources.
Customer Focus: Deliver accurate and timely results, responding effectively to end-user needs.
Request Management: Prioritize and manage all requests received in the centralized mailbox based on business needs.
About You
Experience: 5-7 years in analyzing secondary patient data sources (e.g., electronic medical records, administrative claims). Demonstrated experience with business intelligence tools and data visualization frameworks (e.g., Qlik, Tableau, MicroStrategy), and familiarity with RWE platforms like AETION and PANALGO.
Soft Skills: Strong interactive communication skills, proven teamwork and collaboration abilities, rapid response analytics, and excellent written and verbal communication skills.
Technical Skills: Proficient in R, SQL, SAS, Python, and/or PySpark, with experience in claims data analysis.
Education: BA/BS or MS/PhD in mathematics, statistics/biostatistics, statistical programming, observational research, epidemiology, health economics, or a related quantitative field.
Languages: Excellent proficiency in English, both spoken and written.
Pursue Progress, Discover Extraordinary
Progress doesn't happen without people—those from diverse backgrounds, locations, and roles, all united by a desire to make miracles happen. Join us in chasing change, embracing new ideas, and exploring the opportunities at Sanofi.
At Sanofi, we provide equal opportunities to all, regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our One Day at Sanofi video and learn about our Diversity, Equity, and Inclusion initiatives at sanofi.com.
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