Senior Data Analyst (Storefront)

Join our Storefront team as a Senior Data Analyst, where you'll analyze and optimize the cart, checkout, post-purchase, and account experiences. You'll build statistical models, design and run experiments, and partner with Product, Engineering, and Design to prioritize high-impact opportunities. This role requires deep technical expertise in Python and SQL, a strong grounding in statistics and experimentation, and the ability to communicate insights clearly to stakeholders at all levels.

- Assumer la responsabilité de l'analyse et du soutien scientifique des données pour le processus d'achat, de paiement et de post-achat, en passant par la modélisation statistique et l'exécution d'expériences. - Concevoir et exécuter des expériences (tests A/B, groupes de contrôle) sur ces surfaces, y compris la taille, les métriques de garde-fou, la réduction de la variance et les lectures post-test rigoureuses. - Collaborer directement avec les équipes Produit, Ingénierie et Design pour prioriser les hypothèses, évaluer les opportunités et traduire les résultats en exigences et compromis clairs.

- You are a true individual-contributor “super IC” — deeply technical, hands-on with Python and SQL every day, and fluent in the statistics that make an analysis trustworthy rather than just directional - You have grit — you push through messy data, ambiguous asks, and legacy instrumentation to ship something correct, then iterate - You're excited by the newest AI tools and use them to move faster: LLM-assisted exploratory analysis, agentic coding for pipeline work, automated anomaly detection and insight generation - You thrive with autonomy in a fast-moving environment where you set your own standards for rigor and communicate findings with clarity and confidence to stakeholders at every level - AI-forward: you actively use LLMs and AI-assisted tooling in your own analytical and engineering workflow, and you stay current on what's newly possible - Experience with BI/visualization tools (e.g., Looker, Mixpanel) and comfort building self-serve dashboards that stakeholders actually use - 5+ years of experience as a data scientist or quantitative analyst, ideally on a consumer-facing product, e-commerce, or marketplace team - Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Math, or a related quantitative field - Grit and ownership: comfortable with ambiguity, messy data, and a fast-moving startup environment with limited process - Track record of scoping and running experiments end-to-end, from design through analysis to a decision-ready readout - Strong grounding in statistics and experimentation: hypothesis testing, regression, experiment design, and causal inference methods (e.g., diff-in-diff, propensity matching, incrementality/geo-lift testing) - Deep hands-on expertise in Python and SQL — you write and debug both yourself, daily, not just direct others to - Excellent written and verbal communication; able to translate ambiguous, cross-functional problems (cart, checkout, returns, accounts) into a clear analytical plan and a clear recommendation