Analyze large datasets and conduct statistical, causal, and experimental analyses to answer product and business questions. Build dashboards and visualizations, investigate metric changes, identify data quality issues, and communicate actionable insights. Collaborate with Product, Engineering, and Data Engineering to validate metrics, experiments, and measurement approaches, while documenting methodologies and assumptions.

Lead marketing measurement and experimentation to quantify attribution and incrementality, optimize ad platforms and CRM, build performance data assets, analyze lifecycle engagement, and communicate insights to influence marketing strategy and spend allocation.

Lead and build a greenfield marketing measurement function across B2C and B2B. Own attribution, incrementality, MMM, MTA, LTV, and experimentation; hire and mentor data scientists; partner with marketing leadership to turn statistical results into investment decisions; integrate measurement with data platform and GenAI tools.