Talentmate
India
18th August 2026
2608-2125-508
Job Title: Senior Analyst - Medical Analytics
Career Level: D1
Introduction To Role
Are you ready to turn complex engagement and evidence data into decisions that accelerate real medical impact? Do you want your analysis to shape how resources are invested, how content lands with experts, and how patient benefit is demonstrated across diverse therapy areas?
Based in Chennai, this role operates where performance analytics meets strategic intelligence. You will partner with Medical leaders and field teams to define what success looks like, measure what truly matters, and translate patterns into clear guidance that influences strategy. Your insights will help determine where to focus, which channels and messages perform, and how value is demonstrated across disease areas and tumor types.
You will join a high-velocity, digitally savvy team that leans into accountability and moves from question to decision with pace. Expect to balance challenges with pragmatism—knowing when to dive deep and when to move forward with imperfect data—so that decisions can be made at the speed of the business.
Accountabilities
Strategic Insight and Performance Measurement: Synthesize complex data into clear, actionable insights that inform Medical planning, resource allocation, and engagement strategy across regions and therapeutic areas.
Measurement Frameworks and metrics: Design and implement measurement frameworks that go beyond activity counts to capture engagement quality, content resonance, channel optimization, and strategic outcomes. Define and refine performance metrics aligned to Medical scorecards to drive the right behaviors.
Impact Assessment: Quantify the value of Medical initiatives by connecting activities to outcomes, identifying performance patterns across territories and customer segments, and recommending actions that improve effectiveness.
Requirements Translation and Analytics Alignment: Elicit and translate customer needs into analytical specifications that delivery teams can implement. Challenge unclear or unmeasurable requirements constructively and propose practical alternatives that move initiatives forward.
Cross-Functional Delivery: Produce quarterly business reviews that surface trends, risks, and opportunities, with clear recommendations. Implement ad-hoc strategic analyses for urgent leadership questions, balancing speed with analytical integrity.
Enterprise Collaboration: Partner with Commercial Analytics to align customer engagement measurement and share insights. Collaborate with Clinical Development on evidence generation metrics and clinical insights relevant to Medical strategy.
Data and Advanced Analytics Partnership: Work with data and AI/ML teams to access enterprise data assets, leverage advanced capabilities, and identify automation opportunities that accelerate insight generation.
Analytics Innovation and Automation: Evaluate emerging approaches and technologies for Medical use cases and champion pragmatic adoption when it adds real value. Explore workflow optimization and process automation to increase analytical efficiency.
Data Quality and Integrity: Validate data sources, identify anomalies, and raise issues appropriately. Promote data standards that strengthen trust in metrics and insight.
Essential Skills/Experience
| Role Level: | Not Applicable | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Chennai ,Tamil Nadu |
| Company Website: | http://www.astrazeneca.com | Job Function: | Data Science & AI |
| Company Industry/ Sector: |
Pharmaceutical Manufacturing | ||
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