Analytics Lead

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Description

Analytics Lead Удалённо (Мир) ‍ We usually respond within a week ‍ What you'll be doing — Build the source of truth. Define core product, growth, and revenue metrics - and ensure they’re calculated consistently across every app in the portfolio. — Design the analytics system. Own how events, attribution, funnels, and reporting are structured. Decide how data gets collected, modeled, and interpreted. — Stay hands-on. Write SQL, build models (revenue, UA, product insights), ship dashboards. You're the senior operator, not a layer of oversight. — Partner across the business. Work directly with Growth, UA, Monetisation, and Product as a core stakeholder not a ticket queue. — Lead the BI team. Set direction for our BI engineers, raise the bar on quality, and help them grow. — Scale across apps. Build reusable systems that work portfolio-wide, not one-off solutions for one app. — Own data quality end-to-end. Validate accuracy, catch inconsistencies before stakeholders do, and make sure two teams looking at the same number see the same number. What you'll need to succeed — Senior analytics or BI leadership experience with deep, hands-on SQL and modeling work - you've been the most technical person in the room and the one setting direction. — Mobile app experience is mandatory. You've worked with mobile KPIs (DAU/MAU, LTV, ROAS, retention curves) and understand how attribution actually works in practice. — A track record of building analytics from a messy, fragmented state into something coherent - defining metrics, standardising tracking, getting teams aligned on the same numbers. — Strong business thinking. You ask " what decision does this unlock?" before "what query do I run?" — Comfort leading a small team while staying in the work yourself. — You can move fast in evolving setups without waiting for the perfect spec. ‍ Bonus points for — Experience scaling analytics across a portfolio of apps or products (not just one). — Familiarity with dbt, and Metabase - or the appetite to pick them up in week one. — Familiarity with mobile attribution platforms (Adjust, AppsFlyer, or similar). — Willingness to experiment with LLMs to automate the boring parts of data work. You’ll love it here if: — You prefer freedom and results over fixed schedules and "punching the clock." — You are naturally curious and enjoy wearing multiple hats. Понравилась вакансия? 🧡 — да 🌚 — нет ——— 💙 Удалёнка 💚 Джунам 💜 За рубежом 🫶 Удалёнка джунам 💚 Качнуть карьеру мы также есть там, куда всех хотят отправить — [link]

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