Data Analyst

• Partner with Product, Design, Engineering, and User Research as an analytical partner.
• Study customer discovery of chefs, meals, cuisines, dietary options, and price points; analyze assortment, variety, personalization, and ordering behavior.
• Map the funnel from acquisition through first order, repeat orders, and long-term retention; identify friction and segment customers.
• Define and evaluate hypotheses, metrics, guardrails, sample sizes, and holdouts for product changes and interventions.
• Analyze heterogeneous effects and uncertainty; recommend whether to launch, iterate, or stop.
• Use appropriate observational methods when randomized testing is impractical and explain limitations.
• Evaluate product changes across order rate, churn, revenue per customer, discounts, chef engagement, and unit economics.
• Analyze friction in subscriptions, delivery information, account management, and support journeys.
• Define and document product metrics, cohorts, event tracking, and dashboards; validate instrumentation and behavioral data.
• Create dashboards for product teams to explore results, identify patterns, and monitor post-launch outcomes.
• Prioritize consequential unknowns, design analyses and tests, communicate learnings, and review work with other analysts.

Explore Senior Product Data Analyst at CookUnity. Review requirements and application details.