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 i. Gaming 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 i.

Gaming, 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 i.

Gaming 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