Industrial Engineer

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
• Basic Requirements:
• Bachelor's degree in Industrial Engineering, Operations Research, Management Science, Decision Science, or a related field
• 3+ years of experience in industrial engineering, operations analysis, or a related analytical role
• Experience conducting field studies and analyzing operational data
• Strong analytical and problem-solving skills with the ability to translate data into insights
• Proficiency in Excel and experience working with large datasets
• Experience with data querying or programming tools such as SQL or Python
• Experience with data visualization tools such as Power BI or Tableau
• Strong communication and interpersonal skills, with the ability to influence stakeholders
• Ability to manage multiple priorities in a fast-paced, dynamic environment

Requirements

• Master's degree in Industrial Engineering, Operations Research, or a related field
• Experience in theme parks, hospitality, entertainment, retail, or other high-volume operations
• Familiarity with workforce management, labor planning, or forecasting methodologies
• Experience with cloud-based data platforms such as Snowflake or Azure
• Experience applying Lean or Six Sigma principles
• Additional Requirements:
• Hybrid : Hybrid employees will be required to work from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.
• NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consis

Benefits

Additional Information

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.

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