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What makes us proud?
- In just two years, we've launched two successful mobile games worldwide: Playdoku and Colorwood Sort. We have paused some projects to focus on making our games better and helping our team improve.
- Our games have been enjoyed by over 8 million players worldwide, and we keep attracting more players.
- We've created a culture where we make decisions based on data, which helps us grow every month.
- We believe in keeping things simple, focusing on creativity, and always searching for new and effective solutions.
- Genres: Puzzle, Casual
- Platforms: Mobile, iOS, Android, Social
100+ employees
Key Responsibilities
- Monitor and interpret key product and business metrics, identifying trends, risks, and opportunities.
- Set up, launch, and evaluate A/B tests and other experiments.
- Perform deep-dive analyses on new features, game loops, player behavior, and monetization flows.
- Translate messy data and complex logic into clear, actionable dashboards and insights.
- Automate repetitive data processes, build alerting systems, and optimize existing workflows.
- Collaborate with Producers, devs, and other analysts to improve data collection, instrumentation, and event design.
- Own your work — we value initiative and give you space to implement bold, impactful ideas.
- At least 2 year of experience as an analyst in game dev industry.
- Understand mobile game KPIs and lifecycle stages.
- Fluent with tools like Amplitude, AppsFlyer, OneSignal, and know how to get the most out of them.
- Built dashboards and reporting systems in Power BI, Tableau, or similar — ones that actually get used by teams.
- You can write clean SQL, use Python comfortably, and work with common data/analytics libraries.
- Understand of A/B testing nuances, from design to interpretation.
- Detail-obsessed – the kind of person who notices when something’s off before anyone else.
- Able to tell a data story and present complex findings clearly to both tech and non-tech teammates.
- Experience building and optimizing ETL workflows [dbt/Dataform, Airflow, etc].
- Applied machine learning for player segmentation, retention modeling, or monetization forecasting.
- 100% payment of vacations and sick leave [20 days vacation, 22 days sick leave], medical insurance.
- A team of the best professionals in the games industry.
- Flexible schedule [start of work from 8 to 11, 8 hours/day].
- L&D center with courses.
- Self-learning library, access to paid courses.
- Stable payments.
CV review → Interview with TA manager → Interview with Head of Analytics → Optional Test Task → Job offer
If you share our goals and values and are eager to join a team of dedicated professionals, we invite you to take the next step.
Key Skills
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