Analytics Lead
Удалённо (Мир)
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We usually respond within a week
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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.
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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.


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