Revenue Planning & Analytics Intern, Spring 2027

The Walt Disney Company
Anaheim, California, United StatesPosted Aug 31, 2026
Spring 2027

About the role

Job Posting Title

Revenue Planning & Analytics Intern, Spring 2027

Req ID

10159737

Job Description

About the Role & Program The Revenue Planning and Analytics (RP&A) team is part of the Finance organization that supports clients across the Disneyland Resort within Ticketing, Resorts, Merchandise, Food & Beverage, and Special Events in the core competencies of revenue planning, forecasting, yield management, and optimization. We are looking for an enthusiastic intern to join our team. In this role, you will gain hands-on experience in forecasting, planning, and analytics across various lines of business at Disneyland Resort. You will contribute to key business decisions through analytical work and help uncover opportunities to drive results. We seek candidates with a natural curiosity to understand the "why" behind business performance, who take a proactive role in problem-solving, are results oriented, can prioritize, and be a team player and influencer in a highly collaborative environment. This internship offers a unique opportunity to grow in a dynamic, fast-paced environment. This internship is a full-time commitment located in the Anaheim, CA area from January 2027 - June 2027.

What You Will Do

Every day in this role is unique and rewarding! On any day you might: Collaborate with Pricing and Finance teams to foster a deep understanding of the business to provide data needs, analytics, and actionable insights to drive business decisions Generate reporting and ad-hoc analyses of historical and current data to identify trends, anomalies, and opportunities across multiple lines of business Create and maintain data visualization dashboards using Tableau or similar tools to deliver insights and enable internal efficiencies Contribute to the development and optimization of data processes and workflows Required Qualifications & Skills Proficiency in Microsoft Excel (including VBA and Power Query) Experience in data visualization/business intelligence software, suc

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