Internship – Universal Products & Experiences- Analytics & Information Systems (Fall 2026)

Universal Orlando•Orlando, FL

16h•Onsite

About The Position

The UPE Analytics & Information Systems Intern supports Universal Products & Experiences by gaining hands-on experience with enterprise data platforms, analytics tools, and business intelligence systems used across Merchandising, Finance, and Retail Operations. The intern will assist with foundational data preparation, visualization, analysis, and internal team process documentation and improvement initiatives, while learning how large-scale data systems, reporting platforms, and governance practices enable strategic decision-making. This role is designed to develop future merchandise analytics professionals by combining product development and retail processes with foundational industrial engineering skillsets, modern data analytics, automation, and enterprise reporting technologies. Develop practical experience applying analytics, data, and project management techniques to real business problems. Learn how enterprise data systems and cloud platforms support analytics at scale. Build skills in data visualization, KPI development, and dashboarding. Understand data governance, systems integration, and data quality concepts. Strengthen business communication and storytelling through analytical visualizations and presentations.

Requirements

Currently pursuing a Bachelor’s degree at an accredited university.
Enrollment in Industrial Engineering, Finance, Accounting, Business Analytics, Information Systems, or a related field preferred.
Ability to work full-time on-site (internship/co-op requirements apply).
Analytical thinking and structured problem-solving abilities.
Ability to work with data sets, metrics, and quantitative analysis.
Strong attention to detail and commitment to data accuracy.
Effective written and verbal communication skills.
Ability to learn new tools, systems, and concepts quickly.
Comfortable working both independently and collaboratively in a team environment.

Nice To Haves

Data analysis using Excel, SQL, Power BI, or similar tools.
Understanding of data visualization and dashboarding concepts.
Basic understanding of data models, KPIs, and reporting logic.
Exposure to process improvement, statistics, or forecasting concepts.
Interest in enterprise data systems, automation, or cloud platforms.
Probability & Statistics
Industrial Engineering Methods
Business Analytics
Data Analytics / Data Science
Operations Research
Information Systems
Database Management
Process Improvement / Lean / Six Sigma

Responsibilities

Support data validation and analysis efforts for product development, retail operations, and financial initiatives.
Assist in building and maintaining dashboards and reports using tools such as Power BI, Excel, and SQL.
Participate in process documentation and improvement projects, applying industrial engineering concepts such as process flow analysis.
Help define, document, and track key performance indicators (KPIs) aligned to business objectives (e.g., sales, cost, efficiency, inventory, throughput).
Support analytics projects involving enterprise systems and data platforms, including exposure to cloud-based data environments and reporting tools.
Assist with data quality checks, reconciliation, and basic data governance documentation.
Contribute to presentations, business cases, and executive-ready materials that translate data into actionable insights.
Participate in user acceptance testing (UAT) and validation of reports and analytics solutions.
Collaborate with cross-functional partners including Analytics, Finance, Technology, and Operations.
Follow all Environmental, Health & Safety (EHS) policies and procedures.
Perform other duties as assigned.