Product Analyst

Overview

We're looking for a hands-on analyst who combines data skills (SQL, tracking, dashboards) with product sense : you connect data to user behavior and business goals, propose what to measure and why, and make concise recommendations on what to do next.

Responsibilities

• Establish product analytics from zero : design the event schema and tracking plan, run instrumentation QA, maintain a metric dictionary, and decide where dashboards will live (e.g., Metabase / Tableau / Power BI).
• Query & report : write reliable SQL, automate recurring reports, and build / maintain dashboards.
• Report on and validate core metrics : funnels, DAU / WAU / MAU, activation, retention / churn & cohorts, unit economics (CAC / LTV / Payback), ensure definitions and calculations are correct.
• Define success upfront : help choose the North Star and input metrics for features / experiments, set targets, and interpret results.
• Communicate clearly : provide weekly / monthly updates — in writing and verbally — explaining in plain language what happened, why, and where to focus next.
• Design and run experiments : A / B tests, segmentation, cohort reads; document hypotheses, guardrails, and success criteria.
• Accelerate product decisions : maintain accurate metrics and crisp summaries to enable fast trade-offs (briefs, QA, alerts).
• Collaboration : primarily partner with the PO on data and metrics; collaborate with Engineering / Design as needed to support discovery and delivery.

Requirements

Nice to have

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