Engineer, Industrial

Universal Orlando•Orlando, FL

About The Position

Provide analytical decision-support for Universal Destinations & Experiences leadership, influencing data-driven operational and workforce decisions. Apply industrial engineering, operations research, and advanced analytics to improve efficiency, service delivery, and financial performance while supporting a high-quality guest experience in a high-volume, guest-facing environment with variable demand and operational constraints. Design, implement, and sustain scalable analytical solutions for operational planning, capacity and demand analysis, productivity improvement, labor planning, workforce utilization, budgeting, scheduling, and hiring strategies. Partner with operational leaders to define problems, frame decisions, and encourage adoption of data-driven recommendations. Use statistical and operations research methods, data pipelines, cloud platforms, programming, and modern analytics tools to develop models, governed datasets, automated workflows, dashboards, and decision-support systems. Communicate findings through business cases, presentations, visualizations, and concise narratives for audiences ranging from frontline operators to senior and executive leadership. Participate in Environmental, Health & Safety responsibilities by following established policies, procedures, and training, and perform other duties as assigned.

Requirements

Bachelor’s degree in Industrial Engineering, Operations Research, Management Science, Decision Science, or a closely related field.
At least 3 years of applied industrial engineering and operational analysis experience, or equivalent experience.
Advanced proficiency in SQL and programming tools such as Python and R, including the ability to independently develop complex queries, analytical workflows, and reusable code.
Experience building reusable, production-ready analytics and decision-support solutions, including standardized metrics, governed datasets, automated analytical workflows, and sustained operating models.
Demonstrated experience applying optimization or operations research techniques in resource-constrained, variable-demand service environments.
Experience influencing operational decisions in complex, real-time or near-real-time environments while balancing efficiency, resource constraints, and guest or customer experience outcomes.
Experience with business intelligence and visualization platforms such as Power BI and Tableau, and cloud-based data platforms such as Snowflake and Azure.
Experience using modern analytics and productivity tools, such as Microsoft Copilot and ChatGPT, to improve analytical efficiency, code quality, and documentation.
Strong analytical judgment, conceptual thinking, and problem-solving abilities, with the ability to turn analysis into actionable recommendations.
Excellent interpersonal and consulting skills, including the ability to partner effectively with operations, finance, and technology stakeholders.
Experience conducting field studies and operational data collection to inform labor standards, productivity measurement, and capacity analysis.
Strong project management skills and the ability to manage multiple initiatives simultaneously.
Commitment to knowledge sharing, best practices, and continuous improvement of analytical standards within the Business Analytics & Industrial Engineering team.
Willingness to support a 24/7/365 operation, including periods of high demand such as weekends and holidays.

Nice To Haves

Master’s degree in Industrial Engineering, Operations Research, Management Science, Decision Science, or a closely related field of study.
At least 2 years of experience performing operational analyses for theme parks, resorts, retail, dining, entertainment venues, or similar settings.

Responsibilities

Design, operationalize, and sustain end-to-end analytical and decision-support solutions using industrial engineering and business analytics principles.
Apply probability and statistics, process flow analysis, queuing theory, mathematical optimization, scenario modeling, and prescriptive optimization solvers to diagnose problems, evaluate trade-offs, and recommend actionable solutions.
Develop and maintain decision-support models for labor planning, workforce utilization, budgeting, scheduling, and hiring strategies, balancing cost efficiency with service levels, guest experience outcomes, and operational realities.
Partner with operational leaders to define problems, frame decisions, and drive adoption of data-driven solutions.
Improve analytical solutions using advanced analytics techniques, modern programming practices, and analytics and productivity tools.
Acquire and prepare data using database querying tools and modern data pipelines.
Consolidate, clean, standardize, and maintain analysis-ready datasets from multiple enterprise systems as governed sources of truth.
Apply trend analysis and statistical techniques, including forecasting, classification, and anomaly detection, to understand performance drivers and validate insights.
Automate and scale analytics by productionizing metrics, models, and decision logic on cloud-based platforms to support real-time and scenario-based decision-making.
Develop business cases and presentations for audiences ranging from frontline operators to senior and executive leadership.
Create dashboards and visualizations for standardized performance and decision-support systems.
Translate complex analytical findings into concise narratives that drive alignment and action.
Follow established Environmental, Health & Safety policies, procedures, and training and participate in related responsibilities.
Perform other duties as assigned.