Engineer, Industrial

NBC Universal; Orlando (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Universal Orlando seeks exceptional analytics professionals to influence leadership decisions through industrial engineering, operations research, and advanced analytics. The role focuses on planning, capacity, demand analysis, and prescriptive optimization in a high-volume guest environment.

Responsibilities include data preparation, model development, and dashboard creation to support labor and scheduling, with strong collaboration with operations, finance, and tech stakeholders.

Qualifications

• Bachelor’s degree in Industrial Engineering, Operations Research, Management Science, Decision Science, or closely related field.
• Masters in related field preferred; advanced degree advantageous.
• 3+ years of applied industrial engineering and operational analysis, or equivalent experience.

Responsibilities

• Design and implement end-to-end analytical decision-support solutions using IE and analytics principles.
• Partner with operational leaders to define problems and drive adoption of data-driven solutions.
• Acquire and prepare data using SQL and modern data pipelines; create analysis-ready datasets.
• Develop metrics, models, and dashboards to support labor planning, budgeting, and scheduling.

Skills

SQL

Python

R

Data analysis

Forecasting

Power BI/Tableau

Labor planning

Project management

Education

Bachelor’s degree in Industrial Engineering or related field

Master’s degree in Industrial Engineering or related field

Tools

Power BI

Tableau

Snowflake

Azure

SQL tooling

Job description

We are currently looking for exceptional candidates to fill positions in the below categories.

search results

Job no: 669004 Work type: Regular (Full-Time) Location: Orlando Categories: Finance, Orlando - Professional Generic

JOB SUMMARY:

Provide analytical decision‑support for Universal Destinations & Experiences leadership, influencing data‑driven operational and workforce decisions. This role applies industrial engineering, operations research, and advanced analytics to drive measurable improvements in efficiency, service delivery, and financial performance, while supporting a seamless, high‑quality guest experience. Leverage quantitative methods in operational planning, capacity and demand analysis, and productivity improvement to design, implement, and sustain scalable decision‑support solutions in a high‑volume, guest‑facing environment characterized by demand variability and operational constraints.

MAJOR RESPONSIBILITIES:

• Design, operationalize, and sustain end‑to‑end analytical and decision‑support solutions using industrial engineering and business analytics principles. Apply structured analytical techniques—including 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.
• Operate with a strong internal consulting mindset by partnering closely with operational leaders to define problems, frame decisions, and drive adoption of data‑driven solutions. Continuously elevate analytical solutions by applying advanced analytics techniques, modern programming practices, and modern analytics and productivity tools to improve speed, quality, scalability, and long‑term impact.
• Acquire and prepare data using database querying tools and modern data pipelines. Engineer, standardize, and maintain analysis‑ready datasets by consolidating, cleaning, and translating data from multiple enterprise systems into governed sources of truth. Apply advanced trend analysis and statistical techniques—including forecasting, classification, and anomaly detection—to understand performance drivers and validate insights.
• Identify and implement opportunities to automate and scale analytics by productionizing metrics, models, and decision logic using modern analytics and productivity tools within cloud‑based platforms, supporting both real‑time and scenario‑based decision‑making across fluctuating demand conditions.
• Develop clear, compelling business cases and presentations for audiences ranging from frontline operators to senior and executive leadership. Create dashboards and visualizations as part of standardized performance and decision‑support systems that help stakeholders evaluate scenarios, understand trade‑offs, and act with confidence. Translate complex analytical findings into concise narratives that drive alignment and action.
• Participate in Environmental, Health & Safety responsibilities by following established UDX policies, procedures, and training. Perform other duties as assigned.
• Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities.
• Performs other duties as assigned.

QUALIFICATIONS:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities (KSAs) required.

• Advanced proficiency in SQL and programming tools (Python, R), with 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, balancing efficiency, resource constraints, and guest or customer experience outcomes.
• Experience working with business intelligence and visualization platforms (Power BI, Tableau) and cloud based data platforms (Snowflake, Azure).
• Experience using modern analytics and productivity tools (e.g., Microsoft Copilot, ChatGPT) to improve analytical efficiency, code quality, and documentation.
• Strong analytical judgment, conceptual thinking, and problem solving abilities, with the ability to translate 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 with 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.

EDUCATION:

Required:

• Bachelor’s degree in Industrial Engineering, Operations Research, Management Science, Decision Science, or a closely related field.

Preferred:

• Master’s degree in Industrial Engineering, Operations Research, Management Science, Decision Science, or a closely related field of study.

EXPERIENCE:

Required:

• 3+ years of applied industrial engineering and operational analysis, or equivalent experience.

Preferred:

• 2+ years of experience performing operational analyses for theme parks, resorts, retail/dining/entertainment venues, etc.

Your talent, skills and experience will be rewarded with a competitive compensation package.

Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.

Advertised: Nov 6 2026 Eastern Standard Time Applications close: