As an Industrial Engineer at Universal Destinations & Experiences, you will combine field observation with advanced analytics to solve real, large-scale operational challenges across our parks and experiences. A typical day blends analytical work with time in the operation—you might evaluate capacity and labor performance using data, then partner with frontline teams to test and implement process improvements in a live environment.

You will play a key role in translating data into actionable insights that influence operational leaders and drive measurable impact across workforce management, process optimization, and overall business performance.

Why Join Us

This role offers the opportunity to work at the intersection of analytics and real-world operations where your insights directly shape how guests experience our parks and how our teams operate at scale. You’ll collaborate with diverse teams, tackle complex challenges, and see your work come to life in a dynamic, fast-paced environment.

Key Responsibilities

Analytics & Modeling

• Apply industrial engineering methods such as capacity analysis, queuing theory, forecasting, and optimization to solve operational challenges
• Develop and maintain analytical models to support labor planning, demand forecasting, and operational decision-making
• Identify root causes of performance gaps and translate findings into actionable recommendations

Field Studies & Data Collection

• Conduct on-site observational studies to evaluate processes, guest flow, and operational performance
• Collect and analyze time studies, throughput data, and other operational metrics
• Synthesize field insights with data analysis to drive practical, implementable solutions

Workforce Management

• Support development of labor models, staffing strategies, and scheduling analytics
• Evaluate opportunities to improve labor utilization and operational efficiency
• Contribute to workforce management tools and planning processes

Tools, Reporting & Automation

• Extract and analyze data using tools such as SQL, Snowflake, and Python
• Build dashboards and reporting tools in Power BI and Excel to track KPIs and performance trends
• Support automation efforts to streamline workflows and improve data accuracy

Stakeholder Collaboration

• Partner with cross-functional teams and operational leaders to implement process improvements
• Communicate insights and recommendations through clear presentations and data storytelling
• Support development of business cases for initiatives presented to senior leadership