// Open Role at Wargaming
Join Wargaming's WoT Analytics team as a Product Analyst. Drive product strategy and business impact by transforming complex data into actionable insights for World of Tanks on PC. Lead end-to-end analytical projects, influencing user experience and monetization.
Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes.
You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization.
Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see Wargaming Candidate Privacy Policy (http://legal.eu.wargaming.net/en/candidate-privacy-policy/) for details on how Wargaming uses your personal data.
Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data. Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health. Define and maintain product metrics, ensuring consistent KPI definitions. Build dashboards and reports that support product, business, and operational decisions. Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI). Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs. Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics. Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices. Build deep domain expertise in your product area.