Senior Product Analyst - Xsolla Ads & Rewards

You will collaborate with Operations, Product, Engineering, and Business Stakeholders, using data-driven insights to inform the design and optimization of Xsolla's B2C apps and websites. You'll lead the design and execution of multivariate AB tests, analytics schema, and dashboards/reports, generating recommendations that influence the roadmap and drive product and business performance. You'll thrive in a fast-paced, collaborative, and dynamic setting, driving data-informed product decisions that shape how players are rewarded and engaged at scale. You'll apply strong analytical and statistical skills and quantitative analysis experience within games or other consumer-facing apps, translating complex datasets into clear, actionable recommendations for cross-functional stakeholders.

Responsibilities

• Own data analysis for Xsolla's new B2C apps and websites, generating insights that optimize how users are rewarded and engaged
• Conduct descriptive, diagnostic, and prescriptive analysis — including product funnel mapping, user cohort analysis, and behavioral data modeling — to improve user experience and drive growth and engagement
• Define KPIs for the product and build automated dashboards, reports, and models that enable smarter, faster decision-making across the business
• Design, orchestrate, and analyze multivariate product experiments to drive growth, improve existing features, and test new areas of opportunity
• Apply advanced analytics techniques — including machine learning — to uncover player insights, forecast economic trends, and support monetization strategies, while ensuring outputs remain interpretable and actionable for stakeholders
• Collaborate with data, product, engineering, and business stakeholders to build business cases and forecasts for new feature development

Requirements

• BA/BS in Mathematics, Statistics, Economics, or another quantitative field
• 5+ years of experience in quantitative analysis, preferably within games or other consumer-facing apps
• Fluency in SQL with demonstrated ability to work with highly dimensional and complex datasets
• Strong proficiency with Statsig or comparable A/B testing platforms
• Strong proficiency with Looker, Tableau, or other BI/data visualization tools
• Strong proficiency with Mixpanel, Amplitude, or other product analytics platforms
• Comfortable operating in a fast-paced, high-growth, startup-like environment
• Experience with machine learning or predictive modeling in a product context (nice to have)
• Background in advertising, offerwall, or performance marketing analytics (nice to have)
• Familiarity with user acquisition and monetization metrics in mobile or free-to-play games (nice to have)

Benefits

• 100% company-paid medical, dental, and vision plans
• Unlimited Flexible Time Off
• Personalized career roadmap
• Training and educational opportunities