We're looking for a product-minded Product Analyst to help us understand how users discover, engage with, and pay for ChaChat — and to turn that understanding into clear decisions for product, growth, and monetization.
You'll own product analytics end-to-end: instrumentation quality, funnel and retention analysis, experiment design, and actionable insights for a high-velocity consumer AI product (iOS + web).
With 500+ AB tests running each year, subscription and in-app economy, and massive daily engagement, your impact will be immediate and tangible.
🔍 What You'll Be Doing
- Product metrics & funnels: Own core product metrics (activation, retention, conversion, LTV/CAC, feature adoption) and keep them trustworthy across iOS and web.
- Experimentation: Design, analyze, and communicate A/B tests; help the team ship decisions, not just dashboards.
- Growth & monetization analytics: Dig into onboarding, paywalls, subscriptions, and feature usage (including photo/image and other paid surfaces) to surface growth opportunities.
- Dashboards & self-serve insights: Build and maintain clear product dashboards (e.g. Amplitude / Superset) so PMs, eng, and leadership can answer questions without waiting on you.
- Data quality: Partner with eng to validate events, fix tracking gaps, and keep analytical pipelines reliable (SQL / warehouse / product analytics tools).
- Cross-functional collaboration: Work closely with product, iOS/web eng, UA/marketing, and leadership to guide decisions with data.
🧠 What We're Looking For
- 1–3+ years of experience in Product Analytics / Product Analyst / Data Analyst roles (consumer / B2C preferred)
- Strong SQL and comfort with Python for analysis and automation (Airflow)
- Hands-on experience with product analytics tools (Amplitude, Mixpanel, or similar) and experiment analysis
- Solid grasp of product metrics, unit economics, and A/B testing / experimental design
- You have your own AI-powered analytics harness and use it daily: agentic workflows that take you from a product question to a solid insight in minutes/hours
- You can pull together data from multiple sources (product analytics, subscriptions, attribution, warehouse) and turn it into clear, easy-to-read reports the team actually acts on
- Comfortable working in a fast-moving, high-impact environment with eng and product
🌟 Nice to Have
- Background in subscription-based mobile B2C products or AI consumer apps
- Experience with Airflow, Postgres, ClickHouse, Superset (or similar stack)
- Familiarity with mobile attribution / subscription tooling (AppsFlyer, Adapty, RevenueCat, etc.)
- Experience partnering closely with PMs and mobile engineers on instrumentation and experiments
Why Join Us?
- 🌍 Your work will directly impact millions of worldwide users
- 💰 Up to $3,000
- 🏥 Medical insurance and wellness stipend
- 🏡 Remote-friendly with a hybrid office in 🇬🇪 Tbilisi (5 min from Liberty Square)
- ✈️ Relocation support available
- No corporate bs