About The Role

We are seeking an experienced Senior Business Data Analyst to lead analytical initiatives within our Partner Performance Analytics Team.

This role plays a critical part in driving partner success through advanced business analysis, strategic recommendations, performance optimization, and cross-functional collaboration.

The successful candidate will act as a trusted business partner for senior stakeholders, helping shape strategic decisions through data-driven insights and deep understanding of the iGaming business ecosystem.

Responsibilities

Lead analysis of partner performance, profitability, retention, and business growth opportunities
Own and continuously improve the analytical framework used to evaluate partner success
Analyze the effectiveness and ROI of bonus campaigns, promotional mechanics, loyalty initiatives, and retention activities
Identify business risks, performance bottlenecks, and emerging trends across partner portfolios
Deliver strategic recommendations that improve partner engagement, player value, retention, and profitability
Design and develop advanced dashboards, KPI frameworks, and performance monitoring systems
Conduct deep-dive investigations into business issues and provide root-cause analysis
Support senior management with decision-making through analytical insights and business cases
Mentor junior analysts and contribute to the development of analytical standards within the team

Requirements

4+ years of experience in Business Analytics, Commercial Analytics, Business Intelligence, Performance Analytics, or related fields
Strong experience within iGaming, Sportsbook, Online Casino, or Retention Analytics environments
Advanced SQL expertise
Advanced proficiency in Power BI
Strong experience with KPI design, performance measurement, forecasting, and business performance management
Proven ability to transform analytical findings into strategic business recommendations
Experience working directly with senior stakeholders and decision-makers
Strong understanding of business drivers, profitability metrics, and customer lifecycle analytics
Upper-Intermediate or higher English level
Deep understanding of iGaming KPIs including GGR, NGR, Bonus Cost, Retention, Churn, ARPU, ARPPU, LTV, CPA, ROI, and Player Segmentation
Experience with predictive analytics, forecasting, and statistical modeling
Knowledge of Python is a plus
Experience leading analytical initiatives or mentoring analysts
Excellent communication and presentation skills
Ability to explain complex analytical findings to non-technical audiences
Ability to challenge assumptions and drive data-driven decision-making
Strong business partnering mindset