Director of Analytics - Gaming

** Discover What’s Possible at BetMGM
** As a valued team member, we’re committed to giving you the resources and support you need to thrive. Our benefits and perks include:
* Medical, Dental, Vision, Life, and Disability Insurance
* 401(k) with company match
* Pre-tax spending accounts including health care FSA and commuter savings
* Flexible paid time off
* Professional development reimbursement and ongoing skills training opportunities
* Employee resource groups
* Swag, ticket giveaways, and more!

At BetMGM, we recognize that every individual plays a meaningful role in our success. That’s why we’re committed to building a respectful, inclusive workplace. It’s the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win.###
** About the Role**### ### The Director of Analytics – Gaming is the senior analytical leader responsible for defining and executing the analytics strategy for the Casino business. This role shapes product, promotional, and commercial decision‐making by providing deep insights into game performance, customer behavior, segmentation, bonus optimization, and long-term value.### ### This leader oversees a team of 5 –10 analysts and partners with Casino Product, Commercial, CRM, VIP, Marketing, and Finance to unlock profitable growth and deliver high‐impact insights across all aspects of the Casino P&L.###

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** Casino Strategy & Business Impact*** ### Set the strategic direction for Casino analytics, aligning priorities to product strategy, commercial goals, and market competition.* ### Lead performance analysis across game vendors, game types, RTP strategies, volatility tiers, and player value segments.* ### Influence the Casino roadmap through insights into player behavior, expected revenue impacts, and long‐term profitability.* ### Collaborate with operations and marketing teams to deliver data-driven recommendations that drive growth and improve player experiences.
* ### Evaluate merchandising and content strategies within the iGaming platform, identifying ways to increase player engagement.### ###
** Advanced Modeling, Forecasting & Experimentation*** ### Oversee models for churn prediction, bonus elasticity, segmentation, LTV forecasting, and retention uplift.* ### Own the Casino experimentation framework including design, measurement, and optimization of bonus campaigns, CRM journeys, and product features.* ### Build frameworks for measuring promotional cannibalization, incremental value, and campaign ROI.### ###
** Team Leadership & Organizational Development*** ### Lead, mentor, and grow a 5 – 10-person analytics team.* ### Establish Casino KPI definitions, reporting standards, and insight pipelines used across the business.* ### Foster a culture of analytical rigor, strategic thinking, and commercial ownership.### ###
** Operational Excellence & Tooling*** ### Drive automation of recurring analytics and build scalable dashboards that enable real-time decision-making.* ### Partner with Engineering and Data teams to improve data accessibility, quality, and modeling infrastructure.* ### Ensure analytical workflows and datasets support forecasting, scenario analysis, and strategic planning.### ###
** Cross-Functional Partnership & Executive Influence*** ### Serve as the principal analytical advisor to Casino leadership, delivering insights that shape strategy and investment decisions.* ### Collaborate with CRM, VIP, Product, and Marketing to optimize lifecycle management, reinvestment strategy, and segmentation.* ### Present findings to executive stakeholders with clear narratives and actionable recommendations.### ###
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* Education and Experience:

*** ### Bachelor’s or master’s degree in Analytics, Statistics, Business, or a related field.* ### 10 + years of experience in data analytics, with at least 3 – 5 years in a leadership role.* ### Proven experience in the online gaming industry.### ###
** Technical Expertise:*** ### Strong proficiency in data analytics tools (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power…