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Kwalee’s Growth Analytics team is looking for a Senior Growth Analyst (or Senior Data Analyst) to be the early-warning radar and the money brain of our mobile portfolio. Whenever the data hints at a problem or an opportunity, you’ll help us see it, size it, and act on it fast.
You go way beyond reporting. You’re the kind of analyst who says: “Here’s an opportunity, here’s why it’s happening, here are three ways to win it, and I’ll check next week how we did.”
This role is based onsite 5 days per week at our Leamington Spa studio, where our daily in-office collaboration fuels creativity and innovation.
What You’ll Do:
Be our early-warning radar. Build smart, automated monitoring across revenue, spend, ROAS, and retention so the right people know what’s changing, quickly. Build the money models. Create and improve the LTV and ROAS models that guide our UA targets. Guide where the money goes. Help UA find where the next pound of spend works hardest across games and channels. Detect, diagnose, recommend. When something moves, find out why, put a number on it, and bring clear options. Prove what works. Help the whole team measure the real impact of their work, so we learn from every win. Level up creative testing. Help design how we test and pick winning ads, and the dashboards that track them. Tell the story. Share clear, simple insights with the team and leadership.
What You’ll Own:
Portfolio insight and commercial modelling. You’ll be the first to spot what’s changing across our games, put a number on it, and bring a clear recommendation, and you’ll keep our LTV models fresh so every UA decision stands on solid ground.
How we’ll celebrate your success:
How early we spot changes, and how useful the alerts are. Accuracy of LTV forecasts. Value of the recommendations the team acts on. How clearly we can see the impact of our work.
What We’re Looking For:
Essential
Several years of analytics experience in mobile games or another app business with paid acquisition. Strong SQL and Python (or R); you enjoy building models, not just queries. Hands-on experience with LTV prediction, cohort analysis, and ROAS modelling. A solid grasp of experiment design and statistics. Commercial instinct: you talk in outcomes and recommend actions. A clear communicator who makes data easy for everyone.Desirable
Experience building automated monitoring or anomaly detection is a big plus. Familiarity with mobile attribution and ad data.Find
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