product analyst in subscription products

Intch is a multi-platform subscription product.

• Challenge product decisions by pressure-testing hypotheses before sprints and questioning results that seem too good to be true
• Find funnel insights across activation, onboarding, paywall, conversion, and post-purchase behavior, and turn them into backlog proposals
• Analyze retention, churn, ARPU, and ARPPU across geo, platform, source, intent, and behavior segments
• Own the full experiment cycle across 10+ parallel tests, from hypothesis and metrics to analysis and a recommendation to ship, stop, iterate, or extend
• Evaluate small samples using a primary metric, guardrails, stopping rules, sanity checks, and transparent assumptions
• Validate tracking on critical paths, measure broken events, and work with engineering to fix them
• Build a shared event taxonomy and metrics glossary with Product and Marketing
• Present findings in short, decision-ready memos

• Experience in product analytics for subscription products, especially funnels, onboarding, paywalls, and conversion
• A track record of changing product decisions with data and standing by evidence-based recommendations
• Strong experiment design and A/B test interpretation, including metrics, segments, guardrails, and distinguishing real effects from noise
• Cohort and behavioral analysis that leads to product actions
• Hands-on experience with Amplitude, Google Analytics, and Google Sheets; able to build a complete picture without a DWH or BI
• Ability to explain findings and uncertainty clearly to non-analysts and hold your ground when it matters
• Candidates who treat analytics as a service function, rely only on p < 0.05 or chart-based conclusions, need a ready-made data warehouse and BI to start, or consider data quality the developers’ responsibility are probably not a fit
• Будет плюсом: SQL for ad-hoc queries, Python for automating analysis and checks, experience building an event taxonomy, tracking plan, or data QA process, experience in subscription mobile and web apps in edtech, health and fitness, wellness, productivity, and consumer AI, growth analytics in app studios

• Weekly sprints with many tests running simultaneously and fast iteration