Pf Health is seeking a Senior Associate in Analytics to join their Global Commercial Analytics team, focusing on transforming data into actionable insights for strategic decision-making in the pharmaceutical sector. The role emphasizes analytics solutions related to field force optimization, territory alignment, and commercial ROI, requiring proficiency in data visualization, statistical analysis, and machine learning techniques
Job Summary
The Global Commercial Analytics team transforms data into actionable intelligence to drive strategic decision-making and deliver innovative capabilities using machine learning and AI.
This role involves designing and building analytics solutions to optimize field force sizing, territory alignment, and commercial ROI, supporting MMM in pharma contexts.
Responsibilities include developing Tableau/PowerBI dashboards, building data pipelines in Dataiku, authoring SQL queries, implementing analyses in Python, and collaborating with stakeholders to present insights and recommendations.
Matching Summary
Match Score: 85
Pf Health is seeking a Senior Associate in Analytics to join their Global Commercial Analytics team, focusing on transforming data into actionable insights for strategic decision-making in the pharmaceutical sector. The role emphasizes analytics solutions related to field force optimization, territory alignment, and commercial ROI, requiring proficiency in data visualization, statistical analysis, and machine learning techniques.
Skills & Requirements
Must-have
Commercial Pharma analytics experience
Field force territory analytics
Marketing Mix Modeling (MMM)
SQL, Python, Tableau/Power BI
Data visualization and storytelling
Nice-to-have
Advanced statistical modeling
Machine learning techniques
Dataiku experience
Cross-functional collaboration skills
Key Requirements
2-4 years Commercial Pharma analytics experience
Hands-on exposure to field force/territory analytics