Data Analyst - Workforce Optimization

The Workforce Management team is seeking a Data Analyst to provide data-driven reports and tools that will enable effective decision making impacting guest and team member experience. This role will work with cross-functional partners to ensure we are delivering an optimal experience to our guests while also maintaining a fun, considerate and equitable experience for our team members. The ideal candidate should aspire to be part of a fun and fast-paced environment.

Responsibilities:

• Provide labor reporting metrics to park divisions and help monitor labor productivity
• Analyze historical trends and future projections to guide staffing plans and forecasting
• Perform labor analyses for various park operations, including: Rides, Food & Beverage, Retail, Aquatics, Hotel, Park Services, & More
• Identify and standardize best practices for workforce Optimization
• Utilize software to guide park divisions in complying with regulatory and company policies related to work rules
• Partner with Leadership in various park divisions through labor analysis/adjustments

Requirements:

• Bachelor's degree in a quantitative field (finance, economics, business) or equivalent experience
• 3-5 years professional experience performing data analytics that influence business decision making, preferably in workforce management, planning and analysis for an operations function
• Extensive experience with advanced Excel analytic functions
• Relentless attention to detail and ability to consistently deliver high quality work
• Results oriented with a strong sense of urgency and excellent follow through
• Able to manage multiple projects with a high degree of ambiguity in a fast-paced setting
• Strong interpersonal, written and verbal communication skills
• Working knowledge of Workforce Management Systems is a plus
• Able to work nights, weekends and holiday periods to meet business needs
• Able to pass a background check and drug test, per Company policy, unless prohibited by federal, state, or provincial law.