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Job Title: Strategic Planning Analyst
Las Vegas
NV
Full Time
Executive and Corporate
 
Job Description:


Position Objective




The incumbent is responsible for analyzing both player database and gaming performance profitability trends.  This requires substantial cross-functional collaborative partnering with both the Marketing and Gaming departments.  It also necessitates substantial complex and iterative analysis by leveraging the various database systems utilized across the operation.  Further, the goal is to interpret, analyze and summarize performance results for review and discussion by Senior Management.  Beyond the responsibilities detailed below, the Strategic Planning Analyst will be expected to assist with any ad hoc analyses. 

 

Position Responsibilities 


Player and Gaming Analytics




  • Write queries using SAS and SQL programming languages to pull lists and create analyses from the casino patron and gaming databases.


  • Prepare on-request analysis related to all aspects of player reinvestment and profitabilityincluding comping policy, cash mail testing, and slot and table game yielding decisions.


  • Help design, create, and maintain summary dashboards to track performance in the above areas.


  • Partner with Gaming Operations teams to optimize gaming floor mix.


  • Partner with property teams to answer market-specific analytical questions.


 Strategic Planning Analysis


  • Prepare ROI analysis, as needed, on any proposed technology changes.


  •  Create graphs, slides, projections, handouts, etc. for Board of Director meetings, stockholder meetings, banker meetings, etc.


 
Job Requirements:


Education and Experience Requirements




  • Possess an undergraduate degree in a quantitative subject.


  • Experience conducting regression analysis.


  • Prior experience conducting hypothesis testing of direct mail program and building slot floor optimization models a plus.


 Skill Requirements 



  • Background with relational databases with working knowledge of SQL for analytical query writing.


  • Knowledge of a statistics package (preferably SAS or Stata), including scripting.


  • Strong background in statistical concepts and strong analytical skills.


  • Familiarity with various Business Intelligence software suites a plus.


  • Strong communication skills, both verbal and written.



  


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