data analyst iGaming

Описания нет

• Design, build, and maintain automated dashboards and self-service analytics models using BI tools
• Analyze large-scale datasets on player behavior, transactions, and game performance to identify growth drivers and operational bottlenecks
• Partner with product, engineering, and business leadership to translate business queries into data-driven strategies and metrics frameworks
• Design, analyze, and evaluate A/B tests and experimentation frameworks for product features and platform optimization
• Build SQL queries, data models, and analytical pipelines in cloud data warehouses
• Define, track, and monitor platform and business KPIs, including LTV, CAC, retention, churn, GGR, NGR, and ARPU
• Participate in cross-functional data governance to ensure data quality, privacy compliance, and single source of truth accuracy
• Develop hypotheses and recommendations for product and business teams

• 3 Years of experience as a data analyst or analytics engineer working with complex, large-scale systems
• Advanced SQL skills, including window functions, query optimization, complex joins, and schema design
• Strong proficiency in Python or R for data manipulation, statistical analysis, and automated insights processing
• Experience building executive-ready dashboards with Power BI, Tableau, Looker, or similar tools
• Hands-on experience with cloud data platforms such as PostgreSQL, ClickHouse, Snowflake, BigQuery, or AWS Redshift
• Knowledge of applied statistics, hypothesis testing, and A/B testing methodologies
• Ability to connect analytical findings to user experience, reliability, and business impact
• Strong problem-solving skills and ability to turn ambiguous datasets into concise executive summaries
• Excellent English communication skills and ability to collaborate across teams
• Будет плюсом: experience in the iGaming industry

• Условий в вакансии нет