Senior Industrial Analytics Engineer: Manufacturing Optimization
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Job summary
Amazon is seeking an Senior Industrial Engineering Analytics Engineer to lead advanced analytical models that drive manufacturing efficiency, capacity planning, and cost optimization at scale. You will build and manage integrated IE models linking capacity, labor, material flow, PFEP, and COGS to enable data-driven decisions across factory operations.
The role blends industrial engineering fundamentals with AI-enabled analytics, simulation, and business-case development to support large-scale
Qualifications
- Bachelor's degree in Engineering (Industrial/Mechanical) or Operations Research.
- 7+ years in industrial engineering analytics or manufacturing modeling or operations analysis.
- Strong knowledge of manufacturing systems, capacity planning, and industrial engineering principles.
Responsibilities
- Develop and own integrated IE models connecting capacity, labor, material flow, PFEP, and cost (COGS) for factory planning and operations.
- 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
Education
Tools
Job description
Amazon is seeking an Senior Industrial Engineering Analytics Engineer to lead advanced analytical models that drive manufacturing efficiency, capacity planning, and cost optimization at scale. You will build and manage integrated IE models linking capacity, labor, material flow, PFEP, and COGS to enable data-driven decisions across factory operations.
The role blends industrial engineering fundamentals with AI-enabled analytics, simulation, and business-case development to support large-scale
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