ABOUT YOU

As our Product Data Analyst, you’ll dive deep into user behavior, product performance, and reward mechanics to help shape the future of our app. Your insights will fuel decision-making, optimize the user journey, and drive the growth of a product designed to engage and excite. We are on the lookout for someone with experience in product data analytics. In our team we are developing a data-informed approach in product management. To work for us is to work in the field of gamedev, to influence the development of the company and to see the results of your work.

ABOUT US

At Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.
Headquartered in Los Angeles, with offices in Berlin, Seoul, and beyond, we partner with industry leaders like Valve, Twitch, and Ubisoft to clear the paths for innovation in gaming. Our global reach spans over 200 geographies, offering more than 700 payment methods in 130+ currencies.

REQUIREMENTS

• 3+ years of analytics experience in a digital product, including users’ action research, hypothesis formulation and testing;
• Experience with event analytics and building end-to-end funnels;
• Understanding of what traffic attribution is, as well as ways to analyze the effectiveness of customer acquisition;
• Knowledge of SQL, experience working with databases to retrieve and process information;
• Experience with BI tools like LookerStudio or Tableau;
• Experience with self-service analytical tools such as Amplitude or Statsig is your advantage;
• Experience with A/B testing and other statistical methods to measure impact;
• Knowledge of mathematical statistics and probability theory;
• Know how to convey mathematical information in human language.
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• Define, calculate and validate product metrics to measure the success of new feature implementations;
• Build end-to-end funnels to identify growth point and generate hypothesis;
• Design and launch experiments to support product growth;
• Conduct data-driven user behavior research to improve product metrics;
• Monitor product quality, provide feedback to product teams on service improvements;
• Support data collection (quality of event coverage of the product interface);
• Work closely with product managers, designers and developers.