Industrial Analytics Engineer — Factory Optimization & AI Insights

ALTEN; North Reading (MA); On-site; USD 90,000 - 135,000; Full time

Job summary

ALTEN USA is seeking an Industrial Engineering Analytics Engineer in Pittsburgh to develop models that relate capacity, labor, PFEP, and costs for factory planning and operations. You will build OEE, yield, scrap, and COGS models and perform bottleneck analyses to drive efficiency across manufacturing sites.

The role requires a strong background in industrial engineering analytics, simulations (FlexSim/AnyLogic/Simio), and advanced Excel, Python, SQL, with BI tools like Power BI or Tableau.

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, or similar.
• Experience building capacity and labor models from the ground up.
• Expertise with OEE modeling (availability, performance, quality).
• Advanced proficiency with Excel, Python, SQL, and reporting tools (Power BI/Tableau).
• Experience with factory simulation tools (FlexSim, AnyLogic, Simio, or similar).
• Strong understanding of manufacturing systems, capacity planning, and material flow.

Responsibilities

• Develop integrated industrial engineering models linking capacity, labor, material flow, PFEP, and cost.
• Build and maintain capacity, labor, OEE, yield, scrap, and COGS models to drive efficiency.
• Perform bottleneck analysis, scenario planning, sensitivity studies, and capacity expansion evaluations.
• Create business cases for capital investments (ROI, IRR, NPV, cost-benefit).
• Support factory layout, site planning, and production strategy with data-driven insights.
• Develop and utilize factory simulation models to analyze throughput and performance.
• Collaborate with Manufacturing, Operations, Supply Chain, Finance, Engineering, MES, and Controls teams.
• Design scalable data models, dashboards, and analytics systems to improve visibility.
• Implement AI-driven tools and predictive analytics to enhance manufacturing performance.
• Present findings and recommendations to leadership and executives.

Skills

Analytical thinking

Executive communication

Problem solving

Education

Bachelor’s degree in Industrial/Mechanical Engineering or OR

Tools

Excel

Python

SQL

Power BI

Tableau

Job description

ALTEN USA is seeking an Industrial Engineering Analytics Engineer in Pittsburgh to develop models that relate capacity, labor, PFEP, and costs for factory planning and operations. You will build OEE, yield, scrap, and COGS models and perform bottleneck analyses to drive efficiency across manufacturing sites.

The role requires a strong background in industrial engineering analytics, simulations (FlexSim/AnyLogic/Simio), and advanced Excel, Python, SQL, with BI tools like Power BI or Tableau.