Lead Analyst, Player Analytics

🕒 Julho 22

🌐 Estados Unidos, Canadá – Remoto

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💵 $100.000 - $140.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧐 Analista

👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Rush Street Interactive

Rush Street Interactive

501 - 1000 funcionários

Fundada em 2012

🎲 Jogos de Azar

🎮 Jogos

💰 $160.000.000 Post-IPO Equity em 2020-12

Gambling • Gaming • Entertainment

A Rush Street Interactive é uma empresa líder na indústria de jogos online, especializada em cassinos online e apostas esportivas. Conhecida por construir marcas altamente reconhecíveis e acessíveis como BetRivers, RushBet e PlaySugarHouse, a empresa oferece experiências de cassino online e apostas esportivas centradas no jogador na América do Norte e América Latina. Com foco em inovação e retenção de clientes, a Rush Street Interactive se esforça para oferecer produtos de jogos envolventes e experiências de entretenimento memoráveis com dinheiro real através de várias plataformas. Eles estão comprometidos em criar ambientes de jogo justos e fáceis de usar enquanto expandem sua atuação globalmente.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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