Data Analyst

We are looking for a Data / BI Analyst in iGaming to own analytics end-to-end: defining data requirements, ensuring data quality, building dashboards, and delivering actionable insights. You will work closely with Data Engineering, Product, CRM, Marketing, Risk, and Payments teams to analyze player behavior, payments, funnels, and product performance, turning data into strategic decisions.

Key Responsibilities:

• Define and document data requirements for events, databases, APIs, and Kafka topics
• Collaborate with Data Engineering on data collection, modeling, and ETL pipelines
• Build interactive, high-performance dashboards and reports in Tableau
• Conduct deep-dive analysis on player behavior, payments, funnels, and product metrics
• Ensure data accuracy, consistency, and reliability across all sources
• Provide ad-hoc insights and analytical support for internal teams

Requirements & Skills:

• 2–3+ years in BI, Data Analytics, or Product Analytics, preferably in iGaming
• Strong SQL skills (joins, windows, aggregates, subqueries, performance tuning)
• Advanced Tableau skills (LOD expressions, parameterized dashboards, filters, actions, publishing)
• Experience with event-based data, ETL/ELT pipelines, and data validation
• Understanding of iGaming metrics: casino & sportsbook events, payments, retention, churn

• Strong problem-solving skills, analytical mindset, and ability to translate business needs into data solutions

   

Nice to Have:

• Knowledge of tools like Airflow, DBT, Airbyte, GitHub/GitLab, Kafka topics
• Familiarity with Python for analytics or automation