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Tier-1 pharma brand, mid-level experience, and metro location raise competition despite niche pharma specialization.
Role requires IQVIA, claims/EMR and pharma brand analytics expertise, limiting cross-industry transferability.
Multiple explicit years requirements plus mandatory PySpark/Python/SQL and pharma datasets create strict shortlisting filters.
Serve as an internal consultant to a specific pharmaceutical brand team, driving data-driven commercial solutions using predictive and prescriptive analytics.
Lead development and implementation of new analytic capabilities across the organization to support customer segmentation, business opportunities, and continuous improvement.
Collaborate cross-functionally with Marketing, Medical, Sales, Forecasting, and other partners to apply insights and support strategic decisions using large and diverse datasets.
Bachelor's degree in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science is required; advanced degree preferred.
2+ years experience in pharmaceutical, biotech, or healthcare analytics or secondary data analysis.
4+ years proficiency in PySpark, Python, R, SQL and solid understanding of platforms like DataBricks; experience with data visualization tools is a plus.
Experience manipulating large longitudinal datasets such as Claims, EMR, patient-level data, and IQVIA datasets; strong skills in statistical analysis and modeling; ML knowledge considered a plus.
Experienced in applying sophisticated quantitative methods and analytics in pharmaceutical or healthcare commercial contexts.
Skilled in collaborative work with business leaders and cross-functional teams, able to influence and communicate insights effectively to senior stakeholders.
Comfortable working with large secondary transactional databases and implementing advanced analytics to support strategic commercial decisions in a fast-paced environment.