toogeza - Senior Data Analyst
Requirements
• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. • 5+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry. • Strong analytical and problem-solving mindset; ability to find the story in the data: uncovering trends and explaining them in clear business terms. • Experience working with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar). • Strong hands-on experience with SQL for complex queries and data wrangling. • Solid data visualization skills (Tableau/Power BI) and advanced Python, with practical experience using common data science libraries (e.g., pandas, scikit-learn). • Strong experience of experimental design and statistical testing (A/B testing, hypothesis testing, confidence intervals). • Working knowledge of machine learning fundamentals (supervised learning, feature engineering, training/validation, evaluation metrics) and familiarity with causal inference and uplift modeling. • Hands-on experience contributing to ML workflows or model development, with the ability to implement and test well-scoped tasks alongside Data Scientists. • Practical experience using AI coding assistants or other AI tools in day-to-day work, with a focus on automation, efficiency, and output quality. • Will be a plus: • 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.
Responsibilities
• 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 closely with Data Scientists, Data Engineers, and Product Managers to shape hypotheses, validate them with data, and contribute hands-on to data science development tasks. • Develop robust statistical and causal inference analyses to identify drivers of user behavior. • Contribute to the development and validation of predictive models, including feature engineering, dataset preparation, model evaluation, and A/B testing, in collaboration with Data Scientists. • Communicate complex insights in a simple, compelling way to both technical and non-technical audiences. • Help define metrics 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
Benefits
• Flexible schedule with remote mode. • 25 working days of vacation. • 15 sick leaves. • 1 paid day off for celebrating your birthday. • Paid Ukrainian National Holidays. • Medical insurance is provided after completing the probation period (3 months from the start date). • Budget for education. • Paid for individual English classes. • Technical equipment that meets the working needs. • If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
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