Lead Analyst, Player Analytics

Rush Street Interactive

Lead Analyst driving player behavior analytics across sportsbook, casino, and poker products at Rush Street Interactive. Partnering with various teams to enhance player engagement and retention.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $100,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics with a focus on player growth and retention, utilizing SQL, Python, and machine learning techniques to derive actionable insights from complex datasets. Proficient in A/B testing, cohort analysis, and translating findings into strategic recommendations for cross-functional teams.

Highest-signal resume keywords

SQL ProficiencyMachine Learning TechniquesA/B Testing and Experimental DesignPython ProficiencyGaming or iGaming Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsData AnalysisCohort AnalysisFunnel AnalysisStatistical SignificancePredictive ModelingSegmentation ModelsChurn PredictionLTV ModelingEngagement Strategies

Soft Skills

Cross-Functional CollaborationClear CommunicationActionable Recommendations

Tools & Technologies

SnowflakeDbtAI Tools

Industry Keywords

GamingSports BettingConsumer ProductPlayer EconomicsIncentive Analytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)