Senior Data Analyst, Storefront
Core
Senior Data Analyst driving statistical modeling, experimentation, and funnel diagnostics for cart, checkout, post-purchase, and accounts to optimize the high-velocity storefront experience.
Role type
Senior individual-contributor data scientist (e-commerce)
Builds
Statistical models (causal inference, incrementality testing), disciplined experimentation programs, self-serve dashboards, and AI/LLM-powered analytical workflows.
Domain
E-commerce / Retail
Deliverable
production ML models
Required skills
Python, SQL, causal inference, A/B testing design, funnel diagnostics, statistical modeling, BI/visualization tools, AI/LLM tooling
Preferred skills
Experience with consumer-facing products, messy data navigation, automated anomaly detection
Technologies
Python, SQL, Looker, Mixpanel
Responsibilities
Design and run experiments (A/B tests, holdouts) across cart/checkout/post-purchase surfaces; apply causal inference methods for non-randomized scenarios; drive funnel diagnostics and root-cause analysis; partner with Product/Engineering/Design to prioritize hypotheses; build and maintain source-of-truth metrics and dashboards; write and maintain SQL/Python pipelines; adopt AI/LLM workflows to accelerate analysis; communicate evidence-based insights to stakeholders.
Seniority
Senior, hands-on IC
