Product Analyst

• Own product insights across key journeys: onboarding → pairing → activation → daily engagement → retention → subscription → app store rating.
• Build and maintain dashboards for core metrics (DAU/MAU, cohorts, retention, funnel conversion, feature adoption, paid conversion, churn).
• Cohort + segmentation analysis: identify “who churns, when, and why” (device type, acquisition channel, behavior patterns, crash/sync issues, notification opt-in, etc.).
• Detect problems early: build simple monitoring for spikes in churn signals (drop in sessions, sync failures, crash rate, support tickets).
• Translate insights into actions: recommend specific product levers (UX fixes, nudges, education, feature tweaks), and define how success will be measured.
• Experimentation support: design and evaluate A/B tests (or controlled rollouts), define success metrics + guardrails.
• Triangulate with qual: combine data with app reviews, ratings, and support tickets to create a “top issues + impact” view.

The Ideal “Noisemaker”:

• 1–2 years experience in Product / Growth / Data Analytics (consumer apps preferred)

• Strong SQL skills (joins, window functions, cohorts, funnels)

• Proficient in Excel / Google Sheets (pivots, charts, basic modeling)

• Strong understanding of product metrics (retention, funnels, cohorts, LTV basics)

• Experience with BI & visualization tools: Tableau / Power BI / Looker

• Hands-on experience in creating dashboards and KPI reporting

• Good to have: Python for analysis and automation

• Familiarity with Figma and collaboration with design teams

• Ability to tell a story with data: insights → recommendation → impact

• Comfortable working cross-functionally with PMs, designers, engineers

• Experience with analytics/event tools: Amplitude / Mixpanel / Firebase / GA4