Job Description
📋 Description Build the Lifecycle measurement framework — define metrics for homeowner and pro. Design experiments with rigor; address attribution and contamination. Partner with cross-functional teams to unlock growth levers and roadmap. Lead lifecycle insights; unify engagement view and data infrastructure. Advance workflow automation, self-serve analytics, tooling at scale. 🎯 Requirements Bachelor’s or Master’s in Statistics, Math, Economics, CS, or STEM field. 5+ years analytical experience with SQL and Python for large datasets. Trusted advisor to senior leadership; influence strategy across product, marketing, engineering. Proven track record of leading long-term analytical initiatives with impact. Deep expertise in experimental design, causal inference, and statistics. Experience building data products — dashboards, self-service tools, or reusable analytics. 🎁 Benefits Equal opportunity employer; non-discrimination policy. Reasonable accommodation during application process. Job Applicant Privacy Policy. Guidance on spotting recruiting scams and safety.
