Analyst I, Casino Marketing Analytics - Corporate (Las Vegas)
At a glance
Mid-level Marketing Analytics role at Caesars Sportsbook. Las Vegas · full-time · no salary stated · we estimate $85,250–$140,664 across the United States.
Caesars Sportsbook has not published a salary for this role. The figure below is our estimate, not theirs.
growthroles summary, based on the employer's posting.
What you'll do
- Analyze customer behavior, pricing, market conditions and investment choices to identify ways to improve revenue and operations
- Turn large datasets into clear recommendations that help teams make business decisions
- Build and maintain reports that show leaders operating trends and the factors behind performance
- Help develop strategic projects, support their launch and assess results after rollout
- Prepare findings for senior leaders and explain them clearly in writing and presentations
What you bring
- You can query, analyze and visualize large datasets using tools such as SQL, R, Tableau, BigQuery or Python
- You bring strong critical thinking and can communicate complex analysis to different audiences
- You can handle several projects and deadlines while delivering accurate, high-quality work
- A degree in a relevant field, programming languages, spreadsheet and presentation tools, and statistical analysis are preferred
Who this fits
This role suits someone interested in data-led business decisions and learning casino and hospitality operations. It is based in Las Vegas and listed as hybrid.
From the employer
The Analyst I role supports the Caesars Entertainment ‘Enterprise Analytics’ department mission of providing world class analytical support, delivering insights that drive profit, and being a reliable business partner for all operational areas including Gaming, Marketing, VIP(Casino) Marketing/Operations, and Hospitality (Hotel/ Food & Beverage/Retail/Conventions).
- Conduct objective, rigorous analytics to help the business improve profitability, operational processes, and customer service – e.g., identification and evaluation of revenue growth opportunities, resource optimization, optimal investment mix, competitive market dynamics, customer behavior, and pricing optimization
- Distill vast datasets into actionable insights and recommendations that guide decisions and strategies. Contribute to the development of presentation materials and assist in presenting findings to senior management concisely in verbal and written formats
- Play an active role in the development, roll-out, and post-launch evaluation of strategic projects
- Develop and support reporting for operating departments to provide senior leaders visibility into trends and business performance drivers
- Use technology (e.g., SQL, R, Tableau, Google BigQuery, Python) to develop analytics and reporting tools
- Experience querying, analyzing, and visualizing large data sets
- Strength in critical thinking, problem solving, and written and verbal communication. Comfort in articulating complex information and analyses to a variety of audiences
- Intellectual curiosity and willingness to quickly learn relevant database applications and software, as well as industry-specific terminology and dynamics
- Demonstrated interest in a career in data- and analytics-driven business
- Desire to understand a broad range of operations within the casino and hospitality industry
- Ability to manage multiple projects simultaneously, and meet deadlines while consistently delivering accurate and high-quality work
- Demonstrated ability to work effectively in a team-oriented environment
- Ability to uphold and demonstrate the highest level of integrity
ADDITIONAL REQUIREMENTS (PREFERRED)
- Bachelor’s Degree from a top-tier program in one of the following areas: Finance, Marketing, Engineering, Economics, Mathematics/Statistics, Hotel Management, Business, or Data Science
- Graduate Degree in one of the following areas or in an equivalent technical field: Business, Economics, Mathematics/Statistics, Hotel Management
- Exposure to statistical analysis or optimization analytics
- Proficiency in one or more of the following programming languages: SQL, R, VBA, SAS, Python, and/or experience in working with Google BigQuery. Some experience in working with Microsoft Excel and PowerPoint; Hyperion experience a plus
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