JEI - Corporate Data Analytics Engineer

• Location 165 South Union Boulevard,Suite 100,Lakewood, CO, 80228,United States
• Base Pay $ / Year
• Job Category Planning & Analysis
• Employee Type FT Salary Exempt
• Manage Others No

A Legacy of Excellence

Entertaining Your World

Jacobs Entertainment, Inc. (JEI) is a developer, owner and operator of gaming and entertainment facilities across the United States. Core to the company’s value is our commitment to ethical leadership, outstanding training, and open employee communication.

Jacobs Entertainment is currently in search of a “
Corporate Data Analytics Engineer
” for our corporate office in Lakewood. If you are seeking an opportunity where your contributions and skills will be both valued and your ability to influence change will be immediate, we would love to speak with you.

Our employees are supported with a comprehensive benefits program that include the following:

• $200 Referral Bonus
• Tuition Reimbursement
• Ongoing learning and development programs
• Work towards your future advancement within the company—most of our supervisors and managers are promoted from within
• 7 paid Holidays
• 80 hours of Vacation after 1 year of employment
• 48 Hours of Paid Sick Leave available immediately and renews annually
• We offer a variety of affordable medical, dental, vision and flexible spending account plans after 60 days
• Employee Assistance Program FREE of charge
• Company paid Life Insurance and AD&D
• Matching 401K program after 90 days

Essential Job

Responsibilities and Duties:

• Design, build, and maintain robust star-schema data models and SQL views within the Enterprise Data Warehouse (EDW) to support regional operations
• Build and optimize semantic layers, metadata packages, definitions, and security access models to ensure consistent metrics across the organization
• Consolidate data structures across disparate regional properties to create a unified view of property performance, guest behavior, and revenue tracking
• Author clean, well-documented, and performant SQL queries to streamline data pipeline processing and minimize warehouse query runtimes
• Proactively monitor data pipelines and ETL (Extract, Transform, Load) processes, troubleshooting and resolving integration failures, data quality issues, or pipeline bottlenecks to ensure the timely and accurate delivery of data
• Feature-engineer dataset tables and prepare structured data views to feed predictive artificial intelligence and machine learning models
• Partner with the analytics team on effective use of AI across the department, including forecasting (covers, occupancy, gaming volume, labor demand), predictive modeling (customer lifetime value, churn, reinvestment), and other applied use cases; evaluate tools, advise on appropriate techniques, and help translate business questions into well-scoped AI/ML problems
• Integrate, map, and model guest journey data from the marketing CRM, including omni-channel campaigns, segmentation performance, email open/click behaviors, and promotional attribution
• Model and interpret core gaming metrics, including Slot/Table Drop, Win/Hold percentages, Theoretical Win (Theo), and coin-in data, in partnership with operations and finance leadership
• Build and maintain a working understanding of Property Management Systems (PMS) data, including ADR (Average Daily Rate), RevPAR (Revenue Per Available Room), occupancy tracking, and multi-property booking behaviors
• Map data from Player Tracking Systems, managing rewards, tier progressions, reinvestment rates, and marketing offer redemptions
• Model food and beverage transaction data from Info Genesis POS, including check-level detail, menu mix, voids, and comps, to support outlet performance and F&B analytics
• Integrate workforce and payroll data from UKG Labor / Kronos, applying Slowly Changing Dimension techniques so labor history (roles, pay rates, property assignments) is preserved for accurate hourly labor efficiency and historical reporting

Skills, Education and Other Requirements:

• 3-5 years of experience in data modeling, analytics engineering, or business intelligence engineering
• Advanced SQL mastery, with expert-level ability to write complex analytical queries, stored procedures, database indexes, and…