Internship – Pricing Experimentation & Business Intelligence (Summer 2027)

• 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.

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.

• →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. 

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

• 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.

Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & © 2026 Universal Studios. All rights reserved.

Advertised: Oct 11 2026 Eastern Daylight Time
Applications close: Oct 26 2026 Eastern Daylight Time

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