Lead Analyst, Player Analytics

Socket.dev; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Discretionary annual bonus

401(k) plan with 100% company match on

Comprehensive medical coverage (HSA &F

Job summary

Rush Street Interactive, a leader in online casino and sports betting, seeks a Lead Analyst to own growth and player behavior analytics across sportsbook, casino and poker. This high-visibility role partners with Revenue Ops, Marketing, Product and VIP to surface insights that drive engagement and retention.

You will apply ML tools, conduct segmentation and funnel analyses, and translate findings into actionable recommendations for non-technical stakeholders.

Qualifications

• 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 related quantitative field preferred.
• Strong SQL fundamentals; proficient with window functions, CTEs, and advanced aggregations.
• Comfortable working directly in Snowflake with large datasets.
• Proven ability to distill complex analysis into clear narratives for non-technical audiences.
• Solid understanding of A/B testing and experimental design and interpreting results for business impact.
• Experience with funnel and cohort analysis, modeling lifecycle stages, retention curves, engagement funnels.
• Working knowledge of ML concepts and applying AI tools to analytics workflows.
• Familiarity with dbt transformation workflows and model structuring preferred.
• Python proficiency for analysis, automation, or lightweight ML work preferred.
• Experience in gaming or iGaming, sportsbook, casino, or poker product mechanics and player economics.
• Experience with incentive or promotion analytics is a plus.
• Able to travel occasionally domestically and internationally.

Responsibilities

• Growth & retention analytics: partner with Rev Ops, Marketing, Product and VIP to drive growth and long-term retention.
• Bonus performance & optimization: end-to-end analytics on bonus programs, measure, engage, and optimize ROI.
• Player behavior & segmentation: analyze in-platform behavior to uncover engagement patterns and monetization opportunities.
• Advanced analytics & AI tooling: apply ML techniques and AI tools to accelerate insight generation and predictive modeling.

Skills

SQL fundamentals

Snowflake

dbt workflows

Python

A/B testing

ML concepts

Segmentation models

Churn prediction

LTV modeling

Cross-functional partnering

Game analytics

Promo analytics

Education

Bachelor's degree in quantitative field

Tools

dbt

Snowflake

Job description

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

Location eligibility (for nationwide roles): Open to candidates in eligible locations in the Continental US or Canada.

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

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)

Pay Range

$100,000 — $140,000 USD

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

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.

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.