Park Yield Optimization Intern

Imagine working side-by-side with industry leaders in your field of study. Imagine building upon the skills you've learned in the classroom within a family of legendary brands passionate about creating world-class experiences on a global scale. Now, imagine yourself in a paid Disney Internship.

Job  
Location Lake Buena Vista, Florida, United States Business Walt Disney World Resort Date posted Aug. 28, 2026

At Walt Disney World, we create magic every day, and as an intern on the Park Yield Optimization team, you will play a role in the development and execution of yield management strategies for our four Walt Disney World theme parks. As part of the Revenue Planning & Optimization organization, our mission is to drive efficient, predictable results through innovative yield strategies.

We work directly with key decision-makers who help shape the Walt Disney World Guest experience.

Candidates should have a natural curiosity to understand the “why” behind business performance, take a proactive role in problem-solving, be results oriented, able to prioritize, and be a standout colleague in a collaborative environment.

This internship is a full-time, six-month commitment in the Orlando, FL area from January 2027 through June 2027.

As a Park Yield Optimization Intern, you will be part of an analytically driven and operationally engaged team that helps bring remarkable experiences, unparalleled services, and innovative products to life across our Theme Park Admissions and In-Park Events & Activations team!

• Perform strategic analysis of in-park events to drive profitability while balancing experience priorities

• Support inventory management strategy forhard-ticket events

• Translate business questions into actionable plans for analysis including demonstrating conceptual, statistical, and financial techniques

• Leverage and improve upon data visualizations to enable timely and meaningful decisions

• Articulate clear,accurate insights and value propositions of proposed solutions to business opportunities

• Build strong presentations that show context to analysis and link to actionable recommendations

• Learn from and collaborate withother dedicated analytical professionals

• Abil ity to query data w ith SQL

• Strong familiarity with Microsoft Excel

• Experience creating data visualization s using Tableau, PowerBI , or similar

• Attention to detail

• N atural curiosity and problem
  -solving skills

• Responsibility and independence; pride in delivery quality results

• Proven experience with a programming language (Python, R, etc.)

• Familiarity with business or programming applications of AI , beyond LLMs

• J unior or Senior year preferred

• Major or previous coursework in Data Analytics, Industrial Engineering, Economics, Finance, Hospitality Management, or related major

Candidates for this opportunity MUST meet all of the below requirements:

• 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

• Able toprovide/have reliable transportation to/from work

• Be compliant with The Disney Look (opens in new window) appearance guidelines

• Limited housing opportunities may be available for Florida Based Professional Interns through American Campus Communities, for more information  (opens in new window).

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