Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions.
Translate findings into practical recommendations for product improvements, highlighting what works, what doesn’t, and what opportunities to explore
Perform deep-dive investigations into performance anomalies or game features to explain what happened and why
Collaborate with game designers, product managers, and developers to shape hypotheses and validate them through experimentation.
Support development and testing of predictive models (e.g., player LTV, churn, bonus optimization).
Communicate complex insights in a simple, compelling way to both technical and non-technical audiences.
Help define metrics frameworks for new products or features, expanding high-level requirements with your analytical thinking and product insights.
Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions.

3+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry.
Strong analytical mindset and ability to find the story in the data: uncovering trends and explaining them in clear business terms.
Strong experience in SQL (BigQuery, PostgreSQL, or similar), and comfort working with large datasets.
Solid knowledge of data visualization tools (e.g., Tableau, Power BI, Looker, or similar).
Practical experience with Python for data analysis and modeling.
Familiarity with statistical testing, experimentation, and predictive modeling techniques.
University degree in mathematics / computer science / technology / engineering
English B2+

Knowledge of the iGaming industry or understanding of slot game mechanics
Ability to look at games from players' point of view.
Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact.

Remote (Worldwide)

Structure: small, dedicated team

Toogeza is hiring a Data Analyst