Senior Business Data Analyst

Description

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