Senior Analyst - Commercial Pharma Analytics
AstraZeneca (company site, opens in a new tab)7–11 yrsChennaiOn-siteDirect career pageEst. 25–45 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Partner closely with oncology brand teams to deliver actionable commercial analytics impacting marketing, sales, forecasting, and patient outcomes.
- Develop advanced analytics models using Python, SQL, and PySpark on large healthcare datasets (including claims, EMR, prescriptions) to quantify growth opportunities, ROI, segmentation, and patient journey analysis.
- Create scalable analytical assets on Databricks and communicate insights effectively to senior leadership to influence strategic and tactical commercial decisions.
Minimum Requirements
- 7–11 years of relevant experience in Pharmaceutical, Biotech, or Healthcare analytics.
- Proficient in Python, SQL (PySpark preferred), R, and experience with Databricks or similar analytics platforms.
- Bachelor's degree in quantitative field (Engineering, Statistics, Economics, Applied Math, Computer Science, Data Science, Operations Research) is required; advanced degree preferred.
- Experienced working with secondary healthcare data sources such as claims, EMR/EHR, and patient-level datasets (e.g., IQVIA).
Ideal Candidate Profile
- Experienced in applying statistical, econometric, predictive modeling, and machine learning techniques to healthcare commercial analytics with measurable business impact.
- Able to manage multiple priorities in fast-paced cross-functional environments involving Marketing, Sales, Medical, Market Access, and Forecasting teams.
- Skilled at building production-ready, scalable analytics and driving executive-level storytelling to influence commercial strategy in oncology or related therapeutic areas.