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Internship – Pricing Experimentation & Business Intelligence (Summer 2027)

Walt Disney World Universal Orlando Resort — Orlando, FL Universal Parks & Resorts

Universal Destinations & Experiences Internship Program

• Applications Close: October 26, 2026, at 11:55PM ET. Submit your application as soon as possible – don’t delay!

• Summer 2027 Program Dates: Approximately May 2027 – August 2027.

JOB SUMMARY

The Pricing Experimentation & Business Intelligence Intern will support the Global Revenue Science team in using data and analytics to inform pricing strategy and business decisions. Through hands-on experience with pricing experiments, reporting, dashboards, and business analysis, the intern will develop practical analytical skills while partnering with teams across Revenue Management, Data Science, Product, and Technology.

MAJOR

RESPONSIBILITIES

• Support the planning, execution, monitoring, and evaluation of A/B pricing experiments.

• Assist with validating experiment configurations and reviewing data to confirm that tests are operating as intended.

• Analyze experiment results to measure changes in revenue, sales volume, average price, product mix, conversion, and other relevant performance indicators.

• Conduct ad hoc analyses to answer business questions related to pricing performance, customer purchasing behavior, and revenue trends.

• Support the development, enhancement, and maintenance of dashboards and recurring reports used by Pricing and Revenue Science stakeholders.

• Review reporting outputs for completeness, accuracy, and consistency, and help investigate potential data-quality issues.

• Organize and analyze data from multiple sources using tools such as Excel, SQL, Power BI, or similar analytical platforms.

• Help translate analytical findings into concise insights, business implications, and recommendations for technical and nontechnical audiences.

• Assist with preparing presentations and written summaries for team members, business partners, and leadership.

• Document analytical methodologies, reporting processes, business requirements, and key project learnings.

• Participate in team meetings, project discussions, and cross-functional working sessions to develop an understanding of how analytical work supports business decisions.

• Complete a defined internship project related to pricing, experimentation, or business intelligence and present the findings and recommendations to the broader team.

• Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training, and Team Member involvement activities.

• Performs other duties as assigned.

MINIMUM

QUALIFICATIONS

• In pursuit of a Bachelor or Graduate degree at an Accredited Institution with current class standing of Junior or above.

• Minimum cumulative 2.8 GPA is required.

• A transcript is required upon application.

• Required: Strong analytical, problem-solving, communication, and organizational skills. Foundational proficiency in Microsoft Excel, including organizing data, creating formulas, and summarizing results. Ability to manage multiple assignments and collaborate effectively in a team environment. Strong attention to detail and willingness to learn new tools, concepts, and business processes.

PREFERRED SKILLS & KNOWLEDGE

• Preferred majors include: Business Analytics, Data Science, Statistics, Economics, Finance, Mathematics, Computer Science, Industrial Engineering, Marketing Analytics, Management Information Systems, or related analytical disciplines.

Please note the following

• This internship will be an in-person experience, based in our Orlando offices.

• Interns must be currently pursuing a degree at an accredited university, and must have a graduation date later than August 2027.

• Universal Orlando does not provide housing. Interns are responsible for their own housing and transportation.

• All of our internships are paid, and you may also qualify for housing financial assistance if applicable. The Recruiter will provide specific eligibility details.

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