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