Senior Data Analyst

October 16, 2026

Remote

Senior

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English is required
Includes a test assignment

Description

A mobile game studio behind downloaded hybrid-casual and puzzle titles is hiring a Senior Data Analyst for its Publishing team. The role combines hands-on product and marketing analytics across multiple mobile game projects with building internal tools using AI coding assistants. The analyst will work closely with publishing producers, UA and monetization teams, and development studios, turning data into actionable insights.

Responsibilities

Handle incoming analytical requests from publishing producers and development studios, managing priorities and delivering insights on time
Analyze product and marketing performance across mobile game projects and identify opportunities for growth
Calculate, monitor, and interpret key product and marketing metrics, including retention, ARPU, ARPDAU, LTV, CPI, ROAS, and payer conversion
Support publishing teams with data-driven recommendations on product performance, user acquisition, monetization, and game development
Maintain regular reporting and automate recurring reports to reduce manual work and improve efficiency
Design, evaluate, and analyze A/B tests, translating results into actionable recommendations
Build internal tools using AI coding assistants such as Claude Code, Cursor, or similar solutions
Develop dashboards, automated reports, alerts, scripts, and lightweight internal applications that help the team work more efficiently
Create self-service analytical tools that enable producers to answer routine questions without relying on analysts
Validate AI-generated code and analytical outputs by cross-checking calculations against source data and implementing data quality checks
Collaborate with the Lead Data Analyst, data engineer, and CTO on architecture, code review, access, and deployment of analytical solutions
Communicate analytical findings clearly to non-technical stakeholders and help them understand the business implications of the data

Requirements

4+ years of experience in data analytics, exclusively in the mobile gaming industry
Strong SQL skills, including CTEs, window functions, and working with large datasets
Experience with Python for data analysis and automation, using pandas, NumPy, or similar libraries
Strong understanding of F2P mobile game metrics, including retention, ARPU/ARPDAU, LTV, CPI, ROAS, and payer conversion
Practical experience designing and analyzing A/B tests, with a solid understanding of statistics
Experience with BI tools such as Tableau, Looker, Superset, Power BI, or similar solutions
Hands-on experience building functional tools with AI coding assistants, such as Claude Code or Cursor
Strong analytical thinking and the ability to translate complex data into clear insights and actionable business recommendations
Ability to prioritize independently, manage multiple requests, and balance operational support with deeper analytical work
Autonomy, curiosity, flexibility, and ownership, with a focus on delivering solutions adopted by the team
Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders
Technical English for working with documentation and APIs, and conversational Russian for communication with the team
Understanding of user acquisition, advertising monetization, and mobile game marketing
Experience automating regular reporting and analytical workflows
Experience working with BigQuery
Experience integrating APIs, including BigQuery, advertising networks, and mobile measurement partners (MMPs)