Design, execute, and analyze incrementality experiments (geo, holdout, synthetic control) to measure true causal impact of marketing spend
Maintain and evolve MMM models to support budget planning and scenario analysis
Deliver budget allocation recommendations to senior marketing leadership
Build and refine LTV models to inform acquisition and retention strategy
Develop automation pipelines for budget pacing and allocation decisions
Support data ingestion and ETL processes for marketing platforms (Meta, Google, etc.)
Build dashboards and self-serve reporting tools for cross-functional teams

Advanced degree (Master's preferred) in Statistics, Data Science, Economics, Engineering, or a related quantitative field
3+ years of experience in marketing analytics, data science, or other quantitative roles or equivalent hands-on experience in marketing measurement
Clear knowledge of all topics related to marketing measurement, including MMM, incrementality testing (geo experiments, holdout groups, synthetic control), attribution modeling, attribution and testing
Proficient in Python or R for data analysis, statistical modeling, and automation
Advanced with SQL and experienced with at least one data visualization tool such as Tableau, Looker, or Google Data Studio
Familiar with ETL processes, statistical analysis, and tools like Robyn, Meridian, PyMC, Prophet, or Scikit-learn
Strong statistical foundations
Fluent in English

Marketing Measurement Analyst

Key skills