Senior Data Analyst

• 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

• 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.
• English B2+

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.

• 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.

Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. They collect and process data using advanced methods and technologies to provide their clients with clear, actionable recommendations based on real metrics. SpinLab’s goal is not just to collect data but to transform it into meaningful business insights that improve efficiency and help products grow.