Industrial Analytics Engineer — Optimization & Forecasting

NBC Universal; Orlando (FL); Sur place; USD 90 000 - 130 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

SQL

Python

R

Data analysis

Forecasting

Power BI/Tableau

Labor planning

Project management

Formation

Bachelor’s degree in Industrial Engineering or related field

Master’s degree in Industrial Engineering or related field

Outils

Power BI

Tableau

Snowflake

Azure

SQL tooling

Description du poste

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.