Own causal inference and experimentation
Design and analyze experiments, and build incrementality measurement where clean A/B tests aren’t possible (e.g., propensity-score matching to estimate true lift of features and GTM channels).
Define how we measure the business
Shape metric trees that connect team-level metrics to company outcomes, establish success criteria for product launches, and build frameworks for sizing and forecasting impact. Build predictive models that lead our team to focus on what matters most.
Go deep on the toughest questions
Root-cause anomalies, investigate nuanced behavioral questions, and build new analysis frameworks where existing patterns don’t fit. Use data to teach all of Clay what we should be focusing on and what we can ignore.
Partner as an embedded expert
Work as the direct analytical partner to leaders in your area, turning ambiguous strategic questions into rigorous, decision-ready analysis.