Manager, iGaming Analytics

Caesars Entertainment

. Own the monitoring and analysis of iGaming revenue performance across products, brands, markets, and customer segments .

Posted 10/26/2026full-timeLas Vegas • Nevada • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in revenue performance analysis and strategic recommendations within the online gaming sector, leveraging advanced analytical skills and proficiency in data visualization tools. Capable of leading high-performing teams and influencing business decisions through data-driven insights.

Highest-signal resume keywords

Revenue Performance AnalysisAdvanced SQL SkillsTableau Dashboard DevelopmentPower BI Data ModellingLeadership in High-Performing Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytical SkillsProblem-Solving SkillsData ExtractionForecastingSegmentation ModellingA/B TestingFinancial AnalysisPerformance OptimizationCustomer Lifecycle ManagementPredictive Analytics

Soft Skills

Influencing Business DecisionsBuilding RelationshipsCommunication SkillsChallenging AssumptionsDriving Accountability

Tools & Technologies

Microsoft ExcelBigQuerySnowflakeDatabricksAzureAWSCustomer Data PlatformsCRM SystemsMarketing Automation Tools

Industry Keywords

IGamingOnline GamingCasinoSports BettingDigital Consumer BusinessesCustomer SegmentationPlayer EconomicsEngagementRetentionProfitability

Tech Stack

Tools & technologies

AWSAzureBigQuerySQLTableau

About the role

Key responsibilities & impact

Own the monitoring and analysis of iGaming revenue performance across products, brands, markets, and customer segments
Evaluate performance against budget, forecast, and historical trends, identifying key drivers of over- and under-performance
Develop actionable recommendations to improve revenue, engagement, retention, profitability, and customer lifetime value
Partner with Commercial teams on forecasting, budgeting, and business planning activities
Monitor and communicate key performance indicators (KPIs) to senior leadership on a daily, weekly, and monthly basis
Develop a deep understanding of customer behaviors, motivations, segmentation, and player lifecycle performance
Partner with Acquisition Marketing Analytics on customer acquisition, conversion, retention, and overall value
Collaborate with Enterprise Data and BI teams to enhance reporting accuracy, scalability, data quality, and governance standards
Identify and implement automation opportunities that improve reporting efficiency, streamline processes, and accelerate decision-making
Lead the development, adoption, and continuous enhancement of executive dashboards, performance reporting frameworks, and business scorecards
Build strong relationships across Gaming, Marketing, CRM, Product, VIP, Operations, Finance, and Technology teams
Influence business decisions through data-backed insights and recommendations
Present findings, business cases, and strategic recommendations to senior executives
Challenge assumptions and drive accountability to achieve business objectives

Requirements

What you’ll need

Bachelor's degree in Business, Economics, Mathematics, Statistics, Analytics, Computer Science, or a related field
5+ years of experience in online gaming, casino, sports betting, or related digital consumer businesses
3+ years of leadership experience managing high-performing teams
Demonstrated success growing revenue and improving performance within an online gaming environment
Deep understanding of casino, slots, bingo, player economics, and customer lifecycle management
Strong knowledge of the U.S. online gaming and digital wagering marketplace
Advanced analytical and problem-solving skills with the ability to convert insights into measurable business outcomes
Advanced SQL skills, including complex query writing, data extraction, joins, aggregations, and performance optimization
Tableau experience, including dashboard development and executive reporting
Advanced Power BI experience, including data modelling and automated reporting
Strong proficiency in Microsoft Excel, including pivot tables, advanced formulas, and financial analysis
Experience analyzing large, complex datasets from multiple data sources
Experience with BigQuery, Snowflake, Databricks, Azure, AWS, or similar modern data platforms
Experience with predictive analytics, segmentation modelling, forecasting, and A/B testing
Familiarity with customer data platforms (CDPs), CRM systems, and marketing automation tools