Senior Data Analyst
Location: Warsaw (On-site)
GB2B empowers iGaming companies to deliver seamless player experiences and operate with absolute confidence. As we continue to scale and build the next generation of high-performance platform technologies, we're looking for a Senior Data Analyst to join our mission and turn complex player, operational, and financial data into actionable strategic insights.
Responsibilities
•Design, build, and maintain automated dashboards and self-service analytics models using modern BI tools (e.g., Power BI, Tableau, or Looker).
•Analyze large-scale, high-velocity datasets (player behavior, transactional data, game performance) to identify key growth drivers and operational bottlenecks.
•Partner with Product, Engineering, and Business leadership to translate complex business queries into clear, data-driven strategies and metrics frameworks.
•Design, analyze, and evaluate A/B tests and experimentation frameworks to support product features and platform optimization.
•Build robust SQL queries, data models, and analytical pipelines in cloud data warehouses (e.g., PostgreSQL, ClickHouse, BigQuery, or Snowflake).
•Define, track, and monitor key platform and business KPIs (LTV, CAC, Retention, Churn, GGR/NGR, ARPU) to ensure high platform health and profitability.
•Participate in cross-functional data governance, ensuring data quality, privacy compliance, and single-source-of-truth accuracy across systems.
Requirements
•3+ years of experience as a Data Analyst or Analytics Engineer working with complex, large-scale systems.
•Mastery of SQL (advanced window functions, query optimization, complex joins, and schema design).
•Strong proficiency in Python or R for data manipulation, statistical analysis, and automated insights processing.
•Proven experience with BI & Data Visualization tools (Power BI, Tableau, Looker, or similar) building intuitive, executive-ready dashboards.
•Hands-on experience with cloud data platforms (e.g., PostgreSQL, ClickHouse, Snowflake, BigQuery, or AWS Redshift).
•Solid foundation in applied statistics, hypothesis testing, and A/B testing methodologies.
•Demonstrated product and business mindset — ability to connect deep analytical findings to tangible user experience, reliability, and business impact.
•Strong problem-solving skills with the ability to navigate ambiguous datasets and turn raw data into concise executive summaries.
•Excellent communication skills in English and ability to collaborate effectively within cross-functional teams.
Nice to Have
•Experience in the iGaming industries.
