Associate Engineer, Business Analytics Industrial Engineering

NBCUniversal • Universal City, CA

7d • Hybrid

About The Position

As an Associate Industrial Engineer at Universal Studios Hollywood, you will combine field observation with data-driven analysis to support operational improvements across our park and guest experiences. A typical day blends analytical work with time in the operation. You may evaluate labor and operational performance using data, then partner with frontline teams to test and implement process improvements in a live environment. You will help translate operational data into actionable insights that inform business decisions and drive measurable improvements across workforce management, process optimization, and overall operational effectiveness.

This role offers the opportunity to work at the intersection of analytics and real-world operations where your work directly supports how guests experience our parks and how teams operate at scale. You’ll collaborate with diverse teams, solve operational challenges using data, and gain hands-on experience in a dynamic, fast-paced entertainment environment.

Requirements

• Bachelor’s degree in Industrial Engineering, Operations Research, Management Science, Decision Science, Data Analytics, Statistics, or a related quantitative field
• 1+ years of relevant analytical or operational experience, including internships and co-op experience
• Experience conducting analytical or operational studies using business data and translating findings into actionable recommendations
• Strong analytical and problem-solving skills with the ability to translate data into actionable insights
• Proficiency in Microsoft Excel and experience working with datasets
• Experience with data querying or programming tools such as SQL or Python
• Strong communication and interpersonal skills with the ability to collaborate across teams
• Ability to present findings and recommendations to technical and non-technical audiences
• Ability to manage multiple priorities in a fast-paced, dynamic environment

Nice To Haves

• Internship or project experience in industrial engineering, operations analysis, workforce management, or process improvement
• Familiarity with workforce management, labor planning, staffing optimization, or forecasting concepts
• Experience with data visualization tools such as Power BI or Tableau
• Exposure to cloud-based data platforms such as Snowflake, AWS, or Microsoft Azure
• Exposure to Lean, Six Sigma, or continuous improvement methodologies
• Experience in theme parks, hospitality, entertainment, retail, or other high-volume operational environments
• Demonstrated curiosity and willingness to learn new analytical tools, systems, and operational processes

Responsibilities

• Apply industrial engineering and analytical methods such as forecasting, process analysis, capacity analysis, and optimization techniques to support operational improvement initiatives
• Assist in developing and maintaining analytical models that support labor planning, staffing optimization, forecasting, and operational decision-making
• Analyze operational performance data to identify trends, performance gaps, and opportunities for improvement
• Translate analytical findings into actionable insights and recommendations
• Conduct on-site observational studies to evaluate operational processes, guest flow, and workforce performance
• Collect, validate, and analyze time studies, throughput data, and other operational metrics
• Combine field observations with data analysis to develop practical and implementable operational improvements
• Contribute to Workforce Management initiatives through labor planning analysis, staffing optimization, scheduling analytics, and demand forecasting
• Evaluate opportunities to improve labor utilization and operational efficiency
• Contribute to workforce management tools, reporting, and planning processes
• Extract, analyze, and validate data using tools such as SQL, Snowflake, Python, Excel, and other cloud-based platforms
• Build and maintain dashboards and reporting tools in Power BI and Excel to track KPIs and operational performance trends
• Participate in automation and workflow improvement initiatives that improve efficiency and data accuracy
• Partner with cross-functional teams and operational leaders to implement process improvements
• Communicate insights and recommendations through presentations, reporting, and data visualization
• Assist in developing business cases and operational analyses for leadership review

Benefits

• medical, dental and vision insurance
• 401(k)
• paid leave
• tuition reimbursement
• a variety of other discounts and perks

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level