Industrial Analytics Engineer - AI Factory Optimization

altentechnologyusa; Pittsburgh (Allegheny County); On-site; USD 90,000 - 135,000; Full time

Job summary

ALTEN Technology USA seeks an Industrial Engineering Analytics Engineer to develop and manage integrated models linking capacity, labor, material flow, PFEP, and cost to optimize factory planning and operations.

You will build capacity, OEE, yield, and COGS models, conduct bottleneck analyses, and create business cases for capital investments. Collaboration across functions drives data‑driven decisions and continuous improvement.

Qualifications

• Bachelor's degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field.
• 7+ years of experience in industrial engineering analytics, manufacturing modeling, operations analysis, or a related discipline.
• Strong experience building capacity and labor models from the ground up.
• Expertise with OEE modeling, including availability, performance, and quality metrics.
• Advanced proficiency with Excel, Python, SQL, and reporting tools such as Power BI or Tableau.
• Experience developing business cases using ROI, IRR, NPV, and cost‑benefit analysis methodologies.
• Knowledge of COGS modeling, manufacturing cost structures, yield analysis, and scrap reduction strategies.
• Experience with factory simulation tools such as FlexSim, AnyLogic, Simio, or similar platforms.
• Strong understanding of manufacturing systems, capacity planning, material flow, and industrial engineering principles.
• Excellent analytical, problem‑solving, and executive communication skills.
• Experience translating complex data into actionable recommendations for technical and non‑technical stakeholders.
• Familiarity with AI‑driven analytics, predictive modeling, and continuous improvement methodologies is preferred.

Responsibilities

• Developing and managing integrated industrial engineering models that connect capacity, labor, material flow, PFEP, and cost to support factory planning and operations.
• Building and maintaining capacity, labor, OEE, yield, scrap, and COGS models to drive operational efficiency and decision‑making.
• Performing bottleneck analysis, scenario planning, sensitivity studies, and capacity expansion evaluations.
• Creating business cases for capital investments, including ROI, IRR, NPV, and cost‑benefit analysis.
• Supporting factory layout, site planning, material flow optimization, and production strategy decisions through data‑driven insights.
• Developing and utilizing factory simulation models to analyze throughput, system performance, and operational readiness.
• Collaborating with Manufacturing, Operations, Supply Chain, Finance, Engineering, MES, and Controls teams to align models with business requirements.
• Designing scalable data models, reporting frameworks, dashboards, and analytics systems to improve operational visibility.
• Implementing AI‑driven tools, predictive analytics, and automated reporting solutions to enhance manufacturing performance.
• Presenting complex analytical findings and recommendations to leadership and executive stakeholders.

Skills

Analytical thinking

Executive communication

Problem solving

Data-driven decision making

Education

Bachelor's degree in Industrial Engineering

Tools

Excel

Python

SQL

Power BI

Tableau

FlexSim

AnyLogic

Simio

Job description

ALTEN Technology USA seeks an Industrial Engineering Analytics Engineer to develop and manage integrated models linking capacity, labor, material flow, PFEP, and cost to optimize factory planning and operations.

You will build capacity, OEE, yield, and COGS models, conduct bottleneck analyses, and create business cases for capital investments. Collaboration across functions drives data‑driven decisions and continuous improvement.