Responsibilities

• Partner with corporate and property leadership across Marketing, Operations, Hotel, Finance, and Player Development to identify business challenges and develop data-driven strategies that drive revenue growth, player engagement, and operational efficiency.
• Develop and deliver comprehensive analytical insights, dashboards, and strategic recommendations to senior leadership, supporting informed decision-making across direct marketing campaigns, promotional programs, reinvestment strategies, and player development initiatives.
• Lead Loyalty Campaign Segmentation Analytics, developing advanced customer segmentation strategies and a 360° view of patron profitability to optimize reinvestment, maximize trip visitation, and drive incremental gaming and non-gaming revenue.
• Lead test-and-learn experimentation frameworks, including experiment prioritization, campaign test design, statistical evaluation, and actionable insights to optimize marketing effectiveness and customer engagement.
• Support direct marketing, promotional, and special event initiatives through advanced customer segmentation, campaign performance analysis, profitability modeling, and behavioral analytics.
• Conduct pro forma and post-event analysis for marketing campaigns, promotions, and events to evaluate ROI, optimize reinvestment levels, and improve future program performance.
• Analyze large-scale gaming, hotel, and customer behavioral datasets to identify key drivers of visitation, player worth, revenue generation, and campaign effectiveness.
• Manage analytics projects from concept through execution, including stakeholder alignment, problem definition, analytical methodology, data analysis, and presentation of findings and strategic recommendations.
• Design and develop complex SQL queries and analytical models to extract, transform, and analyze large datasets within the enterprise data warehouse and analytics ecosystem. Translate complex data into clear, actionable insights and visualizations that support business decision-making and marketing strategy.
• Develop and maintain documentation of analytical processes, methodologies, and data sources to ensure transparency, repeatability, and operational efficiency.

Requirements

• Advanced SQL required for data extraction, transformation, and analysis.
• Experience with Power BI, Tableau, and advanced Excel for analytics, reporting, and visualization.
• Certificate/License: Gaming Registration, Valid driver’s license.
• Experience with R or Python (preferred)

Preferred

• Experience with R or Python (preferred)
• Familiarity with Power BI, Tableau, and advanced Excel for analytics, reporting, and visualization