Senior Industrial Analytics Engineer – Manufacturing

Amazon Inc.

Pittsburgh (Allegheny County)

On-site

USD 132,000 - 179,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon.com Services LLC is seeking a Senior Industrial Engineering Analytics Engineer in Pittsburgh. You will lead advanced analytics to optimize manufacturing efficiency, capacity planning, and cost, building integrated IE models that connect capacity, labor, PFEP, and COGS for data-driven decisions across factory operations.

The role requires 7+ years in industrial engineering analytics, with expertise in capacity planning, OEE, and manufacturing modeling.

Qualifications

  • Bachelor's degree in Engineering (Industrial or Mechanical) or related field.
  • 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis.
  • Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles.

Responsibilities

  • Develop and own integrated IE models connecting capacity, labor, material flow, PFEP, and COGS for factory planning.
  • Build capacity models including cycle time, OEE, yield losses, and bottleneck analysis.
  • Develop labor models to optimize headcount, utilization, and labor cost across production systems.
  • Create and evaluate business cases for capital investments (ROI, IRR, NPV).
  • Lead COGS modeling including labor, overhead, scrap, and process-driven costs.

Skills

Integrated IE modeling
Capacity planning
OEE analysis
Python
SQL
Power BI/Tableau
Cost modeling

Education

Bachelor's degree in Engineering or related field

Tools

FlexSim
AnyLogic
Simio

Job description

Amazon.com Services LLC is seeking a Senior Industrial Engineering Analytics Engineer in Pittsburgh. You will lead advanced analytics to optimize manufacturing efficiency, capacity planning, and cost, building integrated IE models that connect capacity, labor, PFEP, and COGS for data-driven decisions across factory operations.

The role requires 7+ years in industrial engineering analytics, with expertise in capacity planning, OEE, and manufacturing modeling.

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