Lead Analyst

Rush Street Interactive (NYSE: RSI) is a market leader in online casino and sports betting, currently operating real-money gaming with our brands: BetRivers.com, PlaySugarHouse.com, and RushBet.co. We’re building bridges between online, social and land-based gaming businesses to create amazing, integrated experiences that keep players in the game.

We’re looking for a Lead Analyst to own growth and player behavior analytics across our sportsbook, casino, and poker products. This is a high-visibility, self-directed role that sits at the intersection of analytics and business strategy. You’ll partner closely with Revenue Operations, Marketing, Product, and VIP to surface insights that directly drive player engagement and retention. This role goes beyond reporting and dashboarding, emphasizing analytical problem-solving, business partnership, and data-driven recommendations.

The right candidate has strong analytical instincts, comfort with ML tooling, and a habit of using AI to push work further and faster. You'll operate with autonomy, identifying the right questions, building the right frameworks, and turning analysis into recommendations stakeholders can act on.

What You'll Do

Growth & retention analytics

• Partner with Revenue Operations, Marketing, Product and VIP to prioritize and execute analytics initiatives focused on player growth and long-term retention.

Bonus performance & optimization

• Manage end-to-end analytics on bonus programs- measuring performance, developing engagement strategies, and optimizing structures for both player value and ROI.

Player behavior & segmentation

• Analyze in-platform behavior across products to uncover engagement patterns, friction points, and monetization opportunities. Translate findings into personalization strategies and product recommendations.

Advanced analytics & AI tooling

• 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.

What You'll Bring:

• 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 #LI-REMOTE

This role spans a wide breadth of experience at Rush Street Interactive, welcoming candidates with diverse experiences, backgrounds, and locations. The pay range reflects potential variations in experience, skills, and location. The pay range does not reflect total compensation, which includes base pay, benefits, and/or bonuses. For candidates outside the US (Canada, Europe, Latin America), we take a locally informed approach to compensation and will share specific ranges based on your country of residence.

Location Eligibility (for nationwide roles): Open to candidates across the U.S.

Location Eligibility (for other roles): Location requirements may vary and will be specified in the job posting.

Canada Benefits:

• Comprehensive health coverage (medical, prescription drugs, vision, and paramedical services)
• Competitive dental plan with strong coverage for basic, major, and orthodontic services
• Annual Health Care Spending Account (HCSA) to support your personalized wellness needs
• 24/7 virtual healthcare access for you and your eligible dependents
• Life, disability, and AD&D insurance for financial peace of mind
• Wellness-focused perks including mental health support and rewards programs
• RRSP and company DPSP contribution, up to 100% of the first 4%
• Parental leave top up policy
• Paid vacation and sick time

Pay Range for candidates in Canada:

$110,000—$150,000 CAD

What Makes Us Great:

• Comprehensive compensation
• Work-life balance initiatives
• Autonomy – we embrace personal freedom and responsibility
• Creativity – we are open to new ideas of how we can be better
• Growth – we want you to develop personally as well as professionally
• Top-notch professionals who are passionate about what they do
• People-oriented environment and supportive atmosphere

As a rapidly growing company in an emerging industry, you’ll have a huge impact on our product and our company. We like proactive team members and strive to have a company of self-disciplined professionals who enjoy collaboration, having fun, and of course, achieving together what others believe to be improbable. We are dedicated to treating everyone with respect and to support your professional and personal growth.

Rush Street Interactive is an equal opportunity employer and committed to a diverse and inclusive workplace. All qualified applicants will be considered for employment without regard to race, national origin, ancestry, sex, sexual orientation, sexual identity and expression, marital status, family status, lifestyle, age, culture, religion, military and veteran status, citizenship, or disability.

Be at the forefront of this ground-breaking industry! Apply now!

Rush Street Interactive uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions - final decisions are made exclusively by our recruiting and hiring teams.

Rush Street Interactive participates in E-Verify for U.S.-based positions. As required by federal law, we provide the following notices to all prospective U.S. employees:
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)

- 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. - Strong SQL fundamentals, with a command of advanced concepts like window functions, CTEs, and complex aggregations. - Comfortable working directly in Snowflake, writing efficient queries against large datasets. - Proven ability to work cross-functionally and distill complex analysis into clear narratives and actionable recommendations for non-technical audiences. - Solid understanding of A/B testing and experimental design, including statistical significance and translating test results into business context. - Experience with funnel and cohort analysis, including modeling player lifecycle stages, retention curves, and engagement funnels. - 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.