
Director – Hospitality Analytics
Caesars Entertainment
full-time
Posted on:
Location Type: Hybrid
Location: Las Vegas • Nevada • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
PythonSQLTableau
About the role
- Oversee a team, guiding both the technical direction and business impact.
- Serve as a strategic partner to senior Hospitality leadership.
- Prioritize analytical and data science efforts.
- Ensure accuracy, speed, and clarity in analytical deliverables.
- Translate model outputs into clear narratives for decision making.
- Lead the design and development of revenue management systems.
- Create and deploy predictive models and analytical tools.
- Partner with Technology and Product teams for scalable solutions.
- Define and maintain the long‑term analytics & data science strategy.
- Produce high-quality analyses and insights related to customer behavior.
- Establish standards for modeling and data quality.
Requirements
- Must be 21 years of age or older
- Bachelor’s degree in Mathematics, Statistics, Data Science, Operations Research, Economics, Engineering, or another quantitative field.
- Demonstrated experience leading data science or advanced analytics teams with a track record of building or managing predictive models and optimization tools.
- Experience working with or supporting revenue management, pricing, forecasting, or yield optimization functions (hospitality or similar industry strongly preferred).
- Superior skills in SQL and proficiency in at least one programming language such as Python or R.
- Strong ability to translate complex analysis into clear, compelling recommendations for senior executives.
- Proven leadership capabilities including team development, stakeholder management, prioritization, and execution.
- Exceptional critical thinking, communication, and problem-solving abilities.
- High standards of integrity, collaboration, and accountability.
- Graduate degree in Mathematics, Statistics, Data Science, Operations Research, Economics, or related technical field.
- 7+ years of professional experience in analytics and/or data science, including revenue‑related applications.
- Experience designing or deploying revenue management or price optimization systems.
- Experience with data visualization tools such as Tableau or Power BI.
- Prior experience in gaming, hospitality, travel, or retail industries.
- Familiarity with A/B testing, uplift modeling, and statistical experimentation.
Benefits
- Family-style service approach fostering warmth and connection
- Opportunities for professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonRpredictive modelsoptimization toolsdata visualizationA/B testinguplift modelingstatistical experimentationdata quality
Soft skills
leadershipteam developmentstakeholder managementprioritizationexecutioncritical thinkingcommunicationproblem-solvingintegritycollaboration
Certifications
Bachelor’s degreeGraduate degree