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Tier-1 brand, mid-level generalist role, metro location, broad skillset required.
Requires pharma-specific datasets (IQVIA) and healthcare analytics experience, limiting cross-industry transferability.
Multiple explicit years requirements and mandatory PySpark/Python/SQL/DataBricks and domain datasets increase filter strictness.
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Lead advanced analytics projects using large healthcare datasets to inform pharmaceutical brand strategy and market execution.
Develop and productionize scalable data pipelines and advanced statistical models (e.g., regression, time series, Bayesian) to generate actionable insights.
Create and deliver data-driven narratives and dashboards that influence commercial decision-making and measure impact.
Bachelor’s degree in Engineering, Operations Research, Economics, Statistics, Applied Math, Computer Science, or related quantitative field.
2+ years experience in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis.
4+ years experience with PySpark, Python, R, SQL and working knowledge of data platforms like DataBricks.
Proficiency analyzing large longitudinal real-world datasets (Claims, EMR); experience with IQVIA data sets; strong statistical analysis and modelling skills.
Experienced in applying advanced quantitative methods in pharma or healthcare data contexts, capable of translating complex analytics into strategic commercial insights.
Proficient in developing scalable analytical solutions and automation, comfortable with rapid delivery under multiple project demands.
Able to collaborate effectively with cross-functional commercial teams and communicate complex findings persuasively to business leaders.