Senior Data Analyst

Accountabilities

Analyze large volumes of game and player data to identify patterns, trends, behavioral dynamics, and opportunities for business growth.
Translate analytical findings into actionable recommendations for product improvements, helping stakeholders understand what works, what does not, and where to focus next.
Conduct in-depth investigations into performance anomalies, game features, and changes in player behavior to determine underlying causes and explain their business implications.
Collaborate with Data Scientists, Data Engineers, and Product Managers to develop hypotheses, validate assumptions, and contribute to hands-on data science and machine learning tasks.
Apply statistical analysis and causal inference techniques to identify the factors influencing user behavior and product performance.
Support predictive model development and validation through feature engineering, dataset preparation, model evaluation, and A/B testing.
Design and implement experiments, evaluate their results, and provide statistically sound recommendations to support product decisions.
Build and maintain dashboards, reports, and performance monitoring tools that help stakeholders track key performance indicators and make informed decisions.
Define and refine metrics for new products and features, translating high-level business requirements into measurable analytical frameworks.
Communicate complex analytical results clearly and effectively to both technical and non-technical audiences.
Leverage AI coding assistants and other AI-powered tools to automate repetitive tasks, improve analytical workflows, and enhance the quality and efficiency of deliverables.
Requirements
Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or another quantitative discipline.
At least 5 years of experience as a Data Analyst or Data Scientist, preferably within the gaming, iGaming, or technology industry.
Strong analytical thinking and problem-solving skills, with the ability to uncover meaningful insights and translate data into clear business recommendations.
Experience working with large-scale datasets and distributed data processing technologies such as BigQuery, Spark, Hive, or equivalent tools.
Advanced SQL skills, including complex queries, data transformation, and data wrangling.
Strong Python skills and practical experience with data science libraries such as pandas and scikit-learn.
Proficiency in data visualization and dashboard development using tools such as Tableau or Power BI.
Solid knowledge of experimental design, statistical testing, A/B testing, hypothesis testing, and confidence intervals.
Working knowledge of machine learning fundamentals, including supervised learning, feature engineering, model training and validation, and evaluation metrics.
Familiarity with causal inference and uplift modeling, along with practical experience contributing to machine learning workflows or model development in collaboration with Data Scientists.
Experience using AI coding assistants or other AI tools in daily work to improve automation, productivity, and output quality.
English proficiency at B2 level or above.
Strong communication and collaboration skills, with the ability to explain technical findings to diverse audiences.
A proactive, product-oriented mindset and the ability to move beyond reporting metrics to recommend solutions that deliver measurable impact.
Nice to have:
Knowledge of the iGaming industry and an understanding of slot game mechanics.
The ability to evaluate games from the player's perspective and connect behavioral data with the overall gaming experience.
A strong product mindset, with an emphasis on identifying opportunities and proposing practical, impact-driven solutions.
Benefits
Flexible working hours and a remote-first working arrangement.
25 working days of annual vacation.
15 sick leave days.
One paid day off to celebrate your birthday.
Paid Ukrainian national holidays.
Medical insurance after successfully completing the three-month probation period.
A dedicated budget for professional development and education.
Company-funded individual English lessons.
Technical equipment tailored to your role and working needs.