Lead product analytics and build the experimentation engine, scaling to 50+ A/B tests a month while managing a team of BI analysts.
Responsibilities
Own experimentation end to end: configure and scale existing A/B testing platform, set standards for test design, sample sizing, metrics and guardrails, and review results.
Train product managers and operations leads to run sound experiments themselves and build playbooks, templates, and review rituals.
Define the analytical data model: entity and event design that joins consistently across product flows, slowly changing dimensions, a semantic layer, and metric definitions.
Introduce data contracts and governance standards with Tech and Data Engineering.
Coach and grow a team of three junior analysts and one senior analyst.
Lead data science initiatives to drive user acquisition, engagement, retention, and conversion for Redfin’s growth strategy.
Locations (2)
Seattle, Washington, United States
Detroit, Michigan, United States
Compensation
The compensation for this position is $127,600 - $161,100. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off.
Responsibilities
Translate ambiguous business questions into actionable analyses that inform growth strategy and business decisions
Develop behavioral segmentation frameworks and user profiles to understand customer needs and uncover drivers of retention and conversion
Design and evaluate user-level A/B tests, multivariate experiments, and market-level tests, establishing best practices and measurement frameworks
Apply causal inference methods to evaluate the impact of product changes, marketing initiatives, and business strategies
Build statistical and forecasting models to anticipate user behavior and estimate business outcomes
Requirements
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field; advanced degree preferred