RWE Data Analyst Expert | Sanofi
Company: Sanofi Careers
Position: Real World Evidence (RWE) Data Analyst Expert
Location: Hyderabad
Employment Type: Permanent | Full-Time
Department: Sanofi Business Operations (SBO)
Travel Requirement: As per business needs
Role Overview
The RWE Data Analyst Expert is responsible for conducting advanced analyses on real-world healthcare data to generate evidence and insights that support strategic, medical, commercial, and health economics decisions across Sanofi.
The role combines:
Statistical analysis
Observational research
Data management
Real-world evidence (RWE) analytics
Data visualization
Cross-functional collaboration
The position supports teams across:
HEVA (Health Economics & Value Assessment)
Medical Affairs
Business Operations & Strategy (BO&S)
Commercial product teams
Chief Digital Office RWE group
About the Team
Sanofi Business Operations (SBO)
SBO is Sanofi’s centralized operations organization in India supporting:
Specialty Care
Vaccines
General Medicines
Consumer Healthcare (CHC)
CMO
R&D
Data & Digital functions
The organization delivers strategic operational support to global business functions.
Key Responsibilities
1. Real World Evidence (RWE) Analytics
Conduct analyses using:
Electronic medical records (EMR)
Administrative claims databases
Secondary healthcare datasets
De-identified clinical trial data
Key analysis areas include:
Disease epidemiology
Patient population characterization
Cohort analyses
Study feasibility assessments
Outcome analyses
2. Statistical & Computational Analysis
Apply:
Statistical methodologies
Data management techniques
Computational analytics
Observational research methods
Use tools and programming languages such as:
R
SAS
Python
PySpark
3. Data Platforms & Visualization
Work with:
Business intelligence platforms
Data visualization tools
RWE analytical platforms
Technologies include:
Tableau
Qlik
MicroStrategy
AETION
PANALGO
4. Cross-Functional Collaboration
Partner with:
HEVA teams
Medical Affairs
Commercial product teams
Chief Digital Office
RWE platform teams
Responsibilities include:
Executing analytical projects
Supporting business decisions
Maintaining Sanofi data assets
Providing analytical expertise
5. Operational & Process Management
Responsibilities include:
Managing requests from centralized mailboxes
Prioritizing analytical projects based on business needs
Delivering accurate and timely outputs
Supporting rapid-response analytics
6. Subject Matter Expertise & Mentorship
Act as:
RWE analytics Subject Matter Expert (SME)
Mentor for new team members
Knowledge-sharing contributor
Support:
Team collaboration
Capability development
Best practices adoption
Required Qualifications
Experience
Candidates should have:
7+ years of relevant experience
Experience analyzing secondary patient datasets such as:
EMRs
Claims databases
Healthcare datasets
Preferred experience with:
Pharmaceutical industry analytics
Observational research
RWE projects
Educational Qualification
One of the following:
BA/BS + 7 years relevant experience
MS/PhD + 5 years relevant experience
Preferred academic backgrounds:
Mathematics
Statistics/Biostatistics
Epidemiology
Health Economics
Statistical Programming
Quantitative disciplines
Technical Skills
Programming & Analytics
Strong proficiency in:
R
SAS
Python
PySpark
Data Visualization & BI Tools
Experience with:
Tableau
Qlik
MicroStrategy
RWE Platforms
Hands-on experience with:
AETION
PANALGO
Soft Skills
Strong capabilities in:
Stakeholder communication
Team collaboration
Analytical problem solving
Challenging conventional thinking constructively
Responsiveness to business needs
Interpersonal communication
Language Requirement
Excellent English communication skills
Written
Spoken
What Sanofi Looks For
Ideal candidates demonstrate:
Strong statistical and analytical thinking
Real-world evidence expertise
Healthcare data interpretation skills
Ability to work in matrixed global teams
Business-oriented analytics mindset
High responsiveness and accountability
Why Join Sanofi?
This role offers opportunities to:
Work on large-scale healthcare data analytics
Influence strategic healthcare decisions
Support global medical and commercial teams
Apply AI and digital technologies in healthcare
Contribute to evidence-based innovation in medicine
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