Senior Data Analyst, Storefront

📋 Description Own end-to-end analytics and data science support for cart, checkout, post-purchase (returns &amp Design and run experiments (A/B tests, holdouts) across these surfaces, including sizing, guardrail Apply causal inference methods (e.g., diff-in-diff, synthetic control, incrementality testing) when Drive funnel diagnostics and root-cause analysis across cart abandonment, checkout drop-off Partner directly with Product, Engineering, and Design on these teams to prioritize hypotheses Build and maintain source-of-truth metrics and self-serve dashboards for 🎯 Requirements Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Math, or a 5+ years of experience as a data scientist or quantitative analyst, ideally on a consumer-facing Deep hands-on expertise in Python and SQL — you write and debug both yourself, daily, not just Strong grounding in statistics and experimentation: hypothesis testing, regression, experiment Track record of scoping and running experiments end-to-end, from design through analysis to a Experience with BI/visualization tools (e.g., Looker, Mixpanel) and comfort building self-serve 🎁 Benefits Pay range: $150,000 — $200,000 USD (base salary; may vary by experience and location) Bonus and equity may be provided for eligible roles Equal employment opportunity Reasonable accommodations for qualified individuals with disabilities