Internship

About the Role

The Revenue Management and Analytics Intern will support the Travel Company UPRV Revenue Management team. This role involves analyzing key business metrics by collecting and analyzing data, preparing reports, and assisting in the development of strategies aligned with company goals. The intern will gain exposure to real-time decision-making, cross-functional collaboration, and tools/techniques for revenue optimization. This internship is ideal for a detail-oriented, analytical thinker eager for hands-on experience in data-driven business strategy.

Key Responsibilities

• Gathers, cleans, and validates data from various sources including sales, bookings, and pricing systems.
• Analyzes historical and real-time data to identify trends, patterns, and anomalies affecting revenue performance.
• Supports ongoing revenue management projects, including automation initiatives and pricing experiments.
• Documents processes and findings for knowledge transfer and team continuity.
• Builds proficiency in data visualization, spreadsheet modeling, and basic forecasting techniques.
• Understands and participates in Environmental, Health & Safety responsibilities by following established UO policy and procedures.
• Performs other duties as assigned.

Requirements & Tech Stack

• 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.
• This internship is an in-person experience, based in Orlando.
• Interns must be currently pursuing a degree at an accredited university with a graduation date later than August 2027.

Qualifications

• Preferred majors: Business Administration, Economics, Finance, Statistics, Data Science, Hospitality Management, or similar.
• Preferred coursework completed: Revenue Management, Business Analytics, Data Visualization, Operations Management, Marketing Analytics, Financial Modeling, Pricing Strategy, or similar.
• Preferred experience working with large datasets (e.g., SQL, PowerBI, Tableau).
• Basic knowledge of data cleaning and validation.