// Open Role at Wargaming
Join Wargaming's WoT Analytics team as a Product Analyst! Transform complex data into actionable insights, influencing product direction and player experience for World of Tanks on PC.
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 Belgrade 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.
- 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.