The role involves leading the design and execution of marketing mix models to evaluate brand promotional effectiveness in a global biotechnology company
Job Summary
The role involves leading the design and execution of marketing mix models to evaluate brand promotional effectiveness in a global biotechnology company.
Candidates will work hands-on with large datasets using Python, PySpark, and SQL within Databricks to clean, transform, and model marketing data.
The position requires translating complex technical analyses into actionable business recommendations for US-based commercial stakeholders and brand leadership.
Matching Summary
The role involves leading the design and execution of marketing mix models to evaluate brand promotional effectiveness in a global biotechnology company.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Marketing Mix Modeling (MMM) experience
Python and SQL proficiency
Databricks or cloud environment usage
Pharma or healthcare analytics background
Data visualization and storytelling skills
Nice-to-have
Causal inference methods knowledge
Media measurement exposure
Cross-functional collaboration experience
Omnichannel campaign analysis
Simulation techniques familiarity
Key Requirements
Master's degree in Economics, Data Science, or related field
8-12 years of analytics experience
Direct experience building or applying MMM in pharma/healthcare