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Tier-1 pharma brand, mid-level (5+ years) Bangalore role increases candidate density despite niche analytics focus.
Strong pharma dataset and IQVIA experience requirement limits cross-industry transferability.
Multiple explicit years, pharma datasets, and required PySpark/Python/SQL/DataBricks skills create strict shortlisting filters.
Act as internal consultant to a specific pharmaceutical brand team, delivering predictive and prescriptive analytics to support commercial decisions.
Lead development and deployment of new analytic capabilities across the Commercial Organization to improve decision-making and competitive advantage.
Collaborate with Marketing, Medical, Market Access, Sales, Forecasting, and Commercial Operations to implement analytical solutions for business opportunities and customer segmentation.
Bachelor’s degree in quantitative field such as Engineering, Operations Research, Statistics, Economics, Computer Science, or Data Science.
2+ years experience in pharmaceutical/biotech/healthcare analytics or secondary data analysis.
4+ years recent experience with PySpark, Python, R, SQL; proficiency manipulating large datasets (Claims, EMR, IQVIA).
Work Experience Required: 2+ years in pharmaceutical/biotech/healthcare analytics or secondary data analysis.
Experienced with advanced statistical analysis and modeling techniques including time series, regression, Bayesian methods, predictive modeling, and machine learning.
Comfortable working cross-functionally with commercial leaders to influence strategy and communicate complex insights clearly.
Familiarity with pharmaceutical brand dynamics especially in Oncology and ability to deploy analytics in a commercial pharmaceutical environment.