Industrial Analytics & Optimization Engineer

Universal Studios; Orlando (FL); On-site; USD 110,000 - 145,000; Full time

Job summary

Universal Studios in Orlando seeks a data‑driven analyst to provide decision support for leadership, applying industrial engineering, operations research, and advanced analytics to improve efficiency, guest experience, and financial performance.

You will build end‑to‑end models, automate dashboards, collaborate with operations, finance, and tech partners, and translate insights into actionable actions in a high‑volume, variable demand environment.

Qualifications

• Advanced proficiency in SQL and programming tools (Python, R) for complex queries and workflows.
• Experience building production‑ready analytics with standardized metrics and governed datasets.
• Experience applying optimization or operations research in resource constrained environments.

Responsibilities

• Design end‑to‑end analytical and decision‑support solutions for labor planning, scheduling, and hiring.
• Partner with operations leaders to frame decisions and drive adoption of data‑driven solutions.
• Prepare data from multiple enterprise systems and create analysis‑ready datasets.
• Forecast, classify, and detect anomalies to understand performance drivers.
• Develop dashboards and visualizations to evaluate scenarios and support decision making.
• Support a 24/7/365 operation and contribute to safety and process improvements.

Skills

SQL proficiency

Python

R programming

Optimization techniques

Power BI

Tableau

Cloud platforms

Data storytelling

Education

Bachelor’s degree in Industrial Engineering/Operations Research/Management Science/Decision Science

Master’s degree in Industrial Engineering/Operations Research/Management Science/Decision Science

Tools

Snowflake

Azure

ETL tools

Git

Job description

Universal Studios in Orlando seeks a data‑driven analyst to provide decision support for leadership, applying industrial engineering, operations research, and advanced analytics to improve efficiency, guest experience, and financial performance.

You will build end‑to‑end models, automate dashboards, collaborate with operations, finance, and tech partners, and translate insights into actionable actions in a high‑volume, variable demand environment.