Resorts Revenue Management Intern, Spring 2027

What you'd do

• Junior or Senior year preferred
• Major or previous coursework in Data Analytics, Industrial Engineering, Computer Science, Economics, or related quantitative major preferred
• Be enrolled in an accredited college/university pursuing a degree taking at least one class at time of application OR currently participating in a Disney College Program or Disney Internship
• Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program
• Be at least 18 years of age
• Possess unrestricted work authorization
• This internship is a full-time, six-month commitment in the Orlando, FL area from January 2027 through June 2027.
• Able to have a consistent, reliable work schedule throughout the internship
• Fully available Monday through Friday for the duration of the internship, 40 hours each week
• Able to provide own housing for the duration of the internship program in the Orlando, FL area

What they want

• Ability to work collaboratively in a team environment while maintaining a positive and professional demeanor
• Self-motivated and able to work independently
• Experience with data visualization tools such as Tableau or similar platforms
• Proficiency in querying and analyzing data using SQL
• Strong attention to detail
• Creative problem-solving abilities and analytical skills
• Strong sense of responsibility, ownership, and pride in delivering quality results and understanding business impacts

About Disney

At Walt Disney World, creating magic for our Guests starts long before they arrive. As a Revenue Management Intern on the Resorts Yield Team, you will help support the strategies that drive demand, optimize occupancy, and maximize revenue across one of the world's most complex resort portfolios. As part of the Revenue Management & Analytics organization, you will work alongside experienced analysts and business leaders while gaining exposure to forecasting, yield management, data analytics, and…