KEY JOB FUNCTIONS:

Conduct objective, rigorous analytics to help the business improve profitability, operational processes, and customer service through identification and evaluation of labor optimization opportunities (e.g., cross-property benchmarking, labor productivity standards, overtime management, headcount efficiency) 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

REQUIRED QUALIFICATIONS

Bachelor's degree from an accredited four-year college 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 1+ years of Prior experience in the Labor industry Experience in working with Microsoft Excel and PowerPoint; Hyperion experience. Proficiency in one or more of the following programming languages: SQL, R, VBA, Sass, Python, and/or experience in working with Google BigQuery.

PREFERRED QUALIFICATIONS

Bachelor’s Degree in one of the following areas: Finance, Marketing, Engineering, Economics, Mathematics/Statistics, Hotel Management, Business, or Data Science 2+ years of Prior experience in the Labor industry Exposure to statistical analysis or optimization analytics Proficiency in two or more of the following programming languages: SQL, R, VBA, Sass, Python, and/or experience in working with Google BigQuery. Experience with data visualization tools, such as Tableau or Power BI