Senior BI & Gaming Analytics Analyst.

Attractive salary
Remote job
Data industry
LATAM
Job ref44227
Post DateSeptember 23, 2026

We are looking for a Senior BI & Analytics Specialist with strong hands-on experience in iGaming / Online Gambling to build and develop the company’s BI and Analytics function.

You will work directly with player-level and transactional data across Casino, Sportsbook, CRM, Payments, Marketing, Agents and Finance, turning complex data into actionable business insights.

This is not a generic BI role. Strong understanding of iGaming operations, player behaviour, commercial KPIs and profitability is essential.

Responsibilities:

  • Build and develop the company’s BI and Analytics structure, including a Single Source of Truth for key KPIs.
  • Develop Power BI dashboards and advanced analysis covering player behaviour, acquisition, retention, churn, LTV, revenue and profitability.
  • Analyse performance across players, brands, markets, channels, agents, products and providers.
  • Analyse the complete player lifecycle, from registration and FTD through retention, reactivation, churn and LTV.
  • Identify trends, anomalies, high-value player segments and growth opportunities.
  • Work closely with Revenue, CRM, Marketing, Operations, Finance and Technology to provide data-driven insights and recommendations.

Requirements:
  • 5+ years in BI, Data Analytics or Business Analytics, including at least 2 years in iGaming / Online Gambling.
  • Hands-on experience with player-level and transactional data and a strong understanding of Casino and/or Sportsbook operations.
  • Strong knowledge of iGaming KPIs including GGR, NGR, Turnover, FTD, Active Players, ARPU/ARPPU, Retention, Churn and LTV.
  • Advanced SQL and Power BI, including DAX and Data Modelling.
  • Experience with ETL/ELT, multiple data sources, large datasets and data quality/validation.
  • Ability to connect acquisition, player behaviour, CRM, revenue and costs to understand business performance and profitability.
  • Python, BigQuery/Snowflake/Redshift, APIs and predictive analytics are desirable.
Maureen Keegan

Maureen Keegan

Recruitment Consultant

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