Senior Data Analyst

We’re building the most relaxing and rewarding casual mobile games, with universal appeal and deep player engagement as our cornerstones.Our game philosophy follows a regimented, analytical approach, but deep down we're also storytellers, compelling our players to express themselves in simple ways. We strive to work in small, flexible teams with everyone contributing to create a unique experience. Our compensation is competitive and we seek serious, motivated team members.

For which tasks?

• Collaborate closely with product and marketing teams (with a strong focus on product).
• Conduct in-depth analytical research to identify growth opportunities.
• Work with the team to design event tracking and product data schemas.
• Analyze game economy, balance, player behavior, and the impact of external factors.
• Manage the full cycle of A/B testing, from hypothesis formation to result evaluation.
• Build and maintain dashboards and recurring reports (Tableau).
• Monitor key product metrics and quickly identify problem areas.
• Apply machine learning techniques for metric forecasting and player segmentation.
• Ensure correct game telemetry tracking and data validation.
• Support the product team in making data-driven decisions.
• Work closely with a data engineer to improve data infrastructure.

We're looking for:

• 3+ years of experience in data analysis in merge games with complex economies and long-term progression.
• Strong mathematical background with solid knowledge of probability theory and applied statistics.
• Proficiency in SQL and Python (experience with Pandas, NumPy, Scikit-Learn).
• Hands-on experience designing and analyzing A/B tests.
• Proficiency in BI tools (Tableau).
• Strong understanding of mobile game KPIs: Retention (D1, D7, D30), ARPU, ARPPU, LTV, DAU/MAU, CPI, ROAS.
• English level B2 or higher.
• Team player with excellent communication skills to deliver insights to both technical and non-technical stakeholders.

Tech stack:

• Python + Google Cloud stack;
• BigQuery;
• Tableau.

Nice to have:

• Experience with cloud data tools and infrastructure (Google Cloud Platform, BigQuery).
• Experience applying machine learning methods in production projects.
• Familiarity with advertising SDKs and MMP platforms (AppsFlyer, Adjust).

Why do we enjoy working here?

• Competitive salary
• Possibility of work remotely in UTC time zone (UTC +3 is max)
• Regular team events: holidays, parties, teambuilding

After successfully passing the trial period employees are offered:

• Health and Fitness Benefits.
• An annual budget to spend on education and growth.
• Medical Insurance.