Senior Data Analyst

Join The Team!

Kwalee’s Product & Growth team is looking for a Lead Product Manager to shape what comes next in our live games: what we change, why, and what it will earn.

You’ll team up with our Executive Producers: they lead how we build; you lead what we build and why, and together you make our games better and better.

We’ll match the title to your experience. This role is for you if you’re a product leader who loves living in player data, forming bold hypotheses about retention, engagement, and monetisation, running clean experiments, and turning results into confident decisions.

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; 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.