Lead Analyst, Player Analytics

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Rush Street Interactive

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🎲 Gambling

🎮 Gaming

💰 $160M Post-IPO Equity on 2020-12

Gambling • Gaming • Entertainment

Rush Street Interactive is a leading company in the online gaming industry, specialising in online casinos and sports betting. Known for building highly recognizable and approachable brands like BetRivers, RushBet, and PlaySugarHouse, the company offers player-centric online casino and sportsbook experiences in North America and Latin America. With a focus on innovation and customer retention, Rush Street Interactive strives to deliver engaging, real-money gaming products, and memorable entertainment experiences across various platforms. They are committed to creating user-friendly and fair gaming environments while expanding their footprint globally.

📋 Description

• Partner with Revenue Operations, Marketing, Product and VIP to prioritize and execute analytics initiatives focused on player growth and long-term retention. • Manage end-to-end analytics on bonus programs- measuring performance, developing engagement strategies, and optimizing structures for both player value and ROI. • Analyze in-platform behavior across products to uncover engagement patterns, friction points, and monetization opportunities. Translate findings into personalization strategies and product recommendations. • Apply ML techniques and AI tools to accelerate insight generation, build predictive models, and continuously raise the ceiling of what the analytics function can deliver.

🎯 Requirements

• 3+ years in analytics, ideally within gaming, sports betting, or a consumer product with meaningful behavioral data. • Bachelor’s degree in mathematics, Economics, Engineering, Computer Science, or a related quantitative field preferred or equivalent relevant experience. • You have strong SQL fundamentals, with a command of advanced concepts like window functions, CTEs, and complex aggregations. • You are comfortable working directly in Snowflake, writing efficient queries against large datasets. • You are proven at working cross-functionally and can distill complex analysis into clear narratives and actionable recommendations for non-technical audiences. • You bring a solid understanding of A/B testing and experimental design, including statistical significance and translating test results into business context. • You have experience with funnel and cohort analysis, including modeling player lifecycle stages, retention curves, and engagement funnels. • You have working knowledge of ML concepts and hands-on experience applying AI tools to analytics workflows. • Familiarity with dbt transformation workflows and model structuring preferred. • Python proficiency, whether for analysis, automation, or lightweight ML work preferred. • Working knowledge of segmentation models, propensity scoring, churn prediction, or LTV modeling preferred. • Experience in gaming or iGaming, including familiarity with sportsbook, casino, or poker product mechanics and player economics preferred. • Experience with incentive or promotion analytics is also a plus. • Able to travel occasionally both domestically and internationally

🏖️ Benefits

• Discretionary annual company bonus (Eligibility Varies by Role) • 401(k) plan with 100% company match on the first 4% • Comprehensive medical coverage (HSA & FSA plans), dental, and vision insurance • Paid Time Off (Eligibility Varies by Role) • Employee Assistance Program (EAP)