Senior Business Data Analyst

We are seeking an experienced Senior Business 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.

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

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

Knowledge of Python is a plus

dvanced 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

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