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Tier-1 pharma brand, metro location, and broad analytics skillset yield moderate competition.
Requires deep healthcare claims/EMR experience and commercial pharma analytics, limiting cross-industry transferability.
Explicit 7-11 years, mandatory pharma analytics and specific toolset create strict shortlisting filters.
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Lead commercial analytics and insight generation to support oncology brand strategy and execution by analyzing large healthcare datasets and delivering actionable recommendations.
Design, run, and evaluate test-and-learn experiments, market simulations, and patient flow models to inform investment prioritization and optimize marketing mix ROI.
Build scalable, production-ready analytics solutions using Python, SQL, and Databricks; automate recurring analytics workflows; communicate insights effectively to senior stakeholders across multiple functions.
7-11 years of experience in Pharmaceutical, Biotech, or Healthcare analytics with demonstrated ability delivering commercial analytics driving measurable business impact.
Bachelor’s degree or equivalent in quantitative field (Engineering, Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Operations Research); advanced degree preferred.
Strong hands-on experience with Python, R, SQL (PySpark preferred), Databricks or similar platforms, and data visualization tools such as Power BI, Tableau, or MicroStrategy.
Proven expertise working with secondary healthcare data sources (claims, EMR/EHR, patient-level datasets including IQVIA).
Experienced senior analytics professional skilled in translating complex healthcare data into strategic commercial insights influencing brand and business strategy.
Comfortable partnering cross-functionally with marketing, sales, medical, market access, and forecasting teams, managing multiple priorities effectively in fast-paced environments.
Has demonstrated leadership of analytics initiatives, ability to communicate clearly to senior leaders, and expertise in advanced analytical and modeling techniques including econometrics and Bayesian methods.