Middle-Senior Data Analyst
ABOUT YOU
We deal with data that actually drives the business – across sales, marketing, development, and operations. Our team connects information from different parts of the company, builds context, and turns complex data into clarity that helps teams understand performance, spot opportunities, and make better, faster decisions.
You’ll thrive in this role if you enjoy diving deep into data, uncovering meaningful insights, and creating analytical tools that guide real-world business outcomes.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Develop and maintain dashboards, alert systems, and analytical reports.
Prepare ad-hoc analytics – reports, data extracts, and answers to business questions
Build and evolve the system of regular analytical reporting
Monitor data quality, detect anomalies, and suggest improvements in data structure and collection processes
Conduct both research-based and operational analytical projects
Utilize tools such as BigQuery, LookerStudio, and Google Sheets
Strong command of SQL (complex queries, optimization)
Ability to design dashboards and reporting systems that truly answer business questions and support decision-making
Skills in defining tasks, setting priorities, and delivering results independently
Attention to detail, accuracy, and the ability to turn analysis into clear, actionable insights
Strong communication skills – ability to explain logic, present results clearly, and defend conclusions
Experience with Neo4j (graph databases) and n8n (automation of analytical workflows)
Skills in Python or other analytical tools
Experience collaborating with data engineers and product teams
