Senior Analyst, In-Park Revenue Analytics & Strategy

About the role

As the Senior Analyst, In-Park Revenue Analytics & Strategy, you will play a key role in driving data-informed decision-making to shape revenue growth initiatives across our in-park business. You will analyze guest behavior, pricing, promotional effectiveness, and sales data to identify actionable insights that optimize revenue strategies across Food & Beverage, Retail, Ancillary, and Zoo operations. Reporting directly to the Director of Revenue Analytics & Strategy, this is a highly collaborative, analytical role focused on turning data into business value.

Responsibilities

• Analyze in-park revenue data to identify trends, track key performance indicators (e.g., Revenue Per Capita), and provide actionable insights.
• Build and maintain dashboards and reporting tools to track performance across revenue streams.
• Support the development and refinement of pricing strategies, product mix evaluations, and promotional effectiveness assessments.
• Conduct ad hoc analyses to support business cases and strategic initiatives.
• Assist in managing vendor tools and systems that support analytics and BI reporting.
• Partner with cross-functional teams including Finance, Marketing, and Park Operations to support revenue optimization initiatives.
• Contribute to financial modeling, forecasting, and scenario planning efforts.
• Support data governance and ensure the accuracy, consistency, and quality of analytics outputs.

Requirements

• Bachelor’s degree required; preferred fields: Business Analytics, Data Science, Finance, Economics, or related disciplines. A Master’s degree is a plus.
• 2–4 years of experience in analytics, data science, business intelligence, pricing strategy, or revenue management — ideally in a consumer-facing industry (e.g., theme parks, hospitality, retail, or entertainment).
• Proficiency in SQL, Power BI, BigQuery, Excel, and other analytical tools; experience with Alteryx, SAC, or similar platforms is a plus.
• Strong financial and analytical skills, including experience with data modeling and scenario analysis.
• Familiarity with pricing, promotions, and consumer behavior analytics.
• Excellent problem-solving skills with the ability to translate complex data into strategic insights.
• Strong communication skills with the ability to present findings to non-technical audiences.
• Experience working with cross-functional teams in a fast-paced, collaborative environment.

Benefits

• Paid Time Off
• Complimentary Park Tickets and Passes
• Park Discounts on Food and Merchandise
• Medical, Dental, and Vision Insurance
• 401K Retirement plan
• Voluntary Insurance
• Life Insurance
• Disability Benefits
• Tuition Reimbursement
• Dependent and Health Care Flexible Spending Accounts
• Employee Assistance Program
• Legal Assistance Plan