Product Analyst (World of Tanks, PC)

Location: Warsaw Job Overview 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. What will you do? 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 and clear relationships between engagement, retention, monetization, and overall product health 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 (e.g., monetization, retention, economy, live operations, platform analytics, user acquisition) What will you do? 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 and clear relationships between engagement, retention, monetization, and overall product health 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 (e.g., monetization, retention, economy, live operations, platform analytics, user acquisition) What are we looking for? 3+ years of experience in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming. Analytical ownership: Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations. Strong SQL and Python skills: Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis. Data visualization: Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations. Statistical expertise: Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods. AI-driven analytics: Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions. Product mindset and autonomy: Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact. Communication and collaboration: Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations. English proficiency: B2 level or higher, written and spoken. Work mode Full-time employment Remote from Poland Type of Contract and Salary Employment Contract (umowa o prace) The salary range for this role is 17000 - 22000 PLN gross monthly ( The final salary within the range will depend on the candidate’s experience, skills, and performance during the interview. Please note that this salary range applies to Poland; for other locations, it might be different.) Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Warsaw include: Additional paid time off (5 Personal Days, Birthday Leave) on top of the statutory minimum Sick Leave 100% Compensation (10 days per calendar year) Career development and education opportunities within the company Premium Private Health Care Mental well-being program (iFeel) Multisport card Personal Gaming Account Company events Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming 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 for details on how Wargaming uses your personal data.