Lead Analyst, Player Analytics

🕒 vor 1 Monat

🌐 Vereinigte Staaten, Kanada – Remote

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💵 $100.000 - $140.000 / Jahr

⏰ Vollzeit

🟠 Senior

🧐 Analyst

👻 Geisterscore 0%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Rush Street Interactive

Rush Street Interactive

501 - 1000 Mitarbeiter

Gegründet 2012

🎲 Glücksspiel

🎮 Gaming

💰 €160.000.000 Post-IPO Equity im 2020-12

Gambling • Gaming • Entertainment

Rush Street Interactive ist ein führendes Unternehmen der Online-Glücksspielbranche und spezialisiert sich auf Online-Casinos und Sportwetten. Bekannt für den Aufbau stark wiedererkennbarer und zugänglicher Marken wie BetRivers, RushBet und PlaySugarHouse bietet das Unternehmen spielerzentrierte Online-Casino- und Sportwetten-Erlebnisse in Nordamerika und Lateinamerika. Mit einem Fokus auf Innovation und Kundenbindung liefert Rush Street Interactive fesselnde Echtgeld-Glücksspielprodukte und unvergessliche Unterhaltungserlebnisse über verschiedene Plattformen hinweg. Das Unternehmen setzt sich dafür ein, benutzerfreundliche und faire Spielumgebungen zu schaffen und gleichzeitig seine globale Präsenz auszubauen.

Beschreibung

• 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.

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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)

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