Senior Data Analyst

Responsibilities

• Understand existing data sources and build a unified analytics system;
• Create and develop dashboards for Product, Marketing, CRM, Payments, Finance, and Management;
• Develop and optimize SQL queries for calculating key business metrics (GGR, NGR, LTV, ARPU/ARPPU, Retention, Conversion, Deposits, etc.);
• Analyze player behavior, cohorts, marketing campaigns, and A/B tests;
• Automate reporting and analytical processes;
• Identify anomalies, bottlenecks, and growth points, initiating research independently;
• Formulate hypotheses and provide recommendations that influence product and business decisions;
• Control data quality, calculation accuracy, and metric logic;
• Assist managers in making decisions based on analytics rather than intuition.

Requirements

• Mandatory experience in iGaming;
• Experience as a Senior Data Analyst / BI Analyst / BI Lead for at least 3 years;
• Excellent knowledge of SQL (complex queries, window functions, optimization);
• Proficient in Python for data analysis;
• Experience with BI tools (Apache Superset, Power BI, Tableau, Metabase, or similar);
• Understanding of DWH, ETL principles, and working with large data volumes;
• Excellent knowledge of key iGaming metrics (GGR, NGR, Retention, LTV, Deposits, Conversion, etc.);
• Ability to independently build an analytics system and choose optimal tools;
• Experience in creating management reporting and analytical dashboards;
• Analytical thinking, systematic approach, initiative, and attention to detail.

Conditions

• Fully remote work format;
• Competitive salary (discussed individually);
• Opportunity to build an analytics system almost from scratch and influence the company's strategic decisions;
• Modern stack of analytical tools;
• Minimum bureaucracy, quick decisions, and freedom in choosing approaches;
• International team and dynamic product in the LATAM market.