product analyst in subscription products

The company operates a multi-platform subscription product that runs more than 10 parallel A/B tests on weekly sprints.

• Challenge product decisions by pressure-testing hypotheses before they enter a sprint and questioning implausible results
• Identify funnel insights across activation, onboarding, paywall, conversion, and post-purchase behavior, and turn them into backlog proposals
• Analyze retention, churn, ARPU, and ARPPU by geography, platform, source, intent, and behavior to identify growth drivers
• Own the full experiment cycle across more than 10 parallel tests, from hypotheses and metrics to analysis and recommendations to ship, stop, iterate, or extend
• Evaluate small samples using primary metrics, guardrails, stopping rules, sanity checks, and transparent assumptions
• Validate tracking across onboarding, paywall, purchases, renewals, cancellations, and refunds; identify broken events and coordinate fixes with Engineering
• Build an event taxonomy and metrics glossary agreed upon by Product and Marketing
• Present findings in concise, decision-ready memos

• Experience in product analytics for subscription products, particularly funnels, onboarding, paywalls, and conversion
• Demonstrated ability to change product decisions using data
• Strong experiment design and A/B test interpretation, including metrics, segments, and guardrails
• Experience with cohort and behavioral analysis that leads to product actions
• Hands-on expertise with Amplitude, Google Analytics, and Google Sheets; ability to build a complete picture from available data without a data warehouse or BI tool
• Clear communication of findings and uncertainty to non-analysts, and ability to stand by evidence-based conclusions

• Salary is discussed after the interview
• Flexible start times