
Internship – Pricing Experimentation & Business Intelligence (Summer 2027)
Orlando, FLInternshipSeen 2w agoSeen in employer's feed 1w ago
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Job overview
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. The intern will gain hands-on experience with pricing experiments, reporting, dashboards, and business analysis while partnering with Revenue Management, Data Science, Product, and Technology teams. The internship is an in-person experience based in Orlando offices.
Skills & qualifications
Skills
Qualifications
Full job description
Universal Destinations & Experiences Internship Program:
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Applications Close: October 26, 2026, at 11:55PM ET. Submit your application as soon as possible – don’t delay!
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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:
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Support the planning, execution, monitoring, and evaluation of A/B pricing experiments.
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Assist with validating experiment configurations and reviewing data to confirm that tests are operating as intended.
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Analyze experiment results to measure changes in revenue, sales volume, average price, product mix, conversion, and other relevant performance indicators.
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Conduct ad hoc analyses to answer business questions related to pricing performance, customer purchasing behavior, and revenue trends.
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Support the development, enhancement, and maintenance of dashboards and recurring reports used by Pricing and Revenue Science stakeholders.
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Review reporting outputs for completeness, accuracy, and consistency, and help investigate potential data-quality issues.
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Organize and analyze data from multiple sources using tools such as Excel, SQL, Power BI, or similar analytical platforms.
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Help translate analytical findings into concise insights, business implications, and recommendations for technical and nontechnical audiences.
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Assist with preparing presentations and written summaries for team members, business partners, and leadership.
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Document analytical methodologies, reporting processes, business requirements, and key project learnings.
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Participate in team meetings, project discussions, and cross-functional working sessions to develop an understanding of how analytical work supports business decisions.
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Complete a defined internship project related to pricing, experimentation, or business intelligence and present the findings and recommendations to the broader team.
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Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training, and Team Member involvement activities.
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Performs other duties as assigned.
MINIMUM QUALIFICATIONS:
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In pursuit of a Bachelor or Graduate degree at an Accredited Institution with current class standing of Junior or above.
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Minimum cumulative 2.8 GPA is required.
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A transcript is required upon application.
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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:
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This internship will be an in-person experience, based in our Orlando offices.
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Interns must be currently pursuing a degree at an accredited university, and must have a graduation date later than August 2027.
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Universal Orlando does not provide housing. Interns are responsible for their own housing and transportation.
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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 is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.
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Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & © 2026 Universal Studios. All rights reserved.
How this job compares
Set against the 1,363 open Business Intelligence jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- Florida median$104–188K/yr32 salary ranges
- US median$28–38/hr44 hourly ranges
- Openings
- Olive Jobs lists 55 open Business Intelligence jobs in Florida and 1,363 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Florida
- EY10 open
- CDM Smith6 open
- ASM Global4 open
- Experience
- Business Intelligence postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (1,192 postings).
- Education
- 432 of the 1,363 open Business Intelligence jobs (32%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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