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Overview
An international iGaming company is seeking a Senior Data Analyst to become a key analytical expert for their project, focusing on data sources, dashboards, and business metrics. An international iGaming company, actively developing in the LATAM markets, is looking for a Senior Data Analyst who will become a key analytical expert for the project.
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.
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.
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.
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