Amazon
Senior Industrial Analytics Engineer
$132K–$179K
Austin, TX +1 · Senior · Full-time · Posted Aug 4, 2026
- Location
- Austin, TX
Pittsburgh, PA - Experience
- 7+ years in industrial engineering analytics, manufacturing modeling, or operations analysis.
- Education
- Bachelor's degree in Engineering (Industrial or Mechanical), Operations Research, or related fields.
About the job
Leads industrial engineering analytics and modeling to improve manufacturing capacity, labor, material flow, and cost decisions across factory and site operations.
What you'll do
- Develop integrated models for capacity, labor, material flow, PFEP, OEE, yield, scrap, and COGS.
- Build business cases and use scenario analysis and factory simulation to evaluate investments, production strategies, and capacity plans.
- Implement AI-enabled analytics and data systems, including scalable data models, automated reporting, and predictive decision support.
What they ask for
- Bachelor's degree in Engineering (Industrial or Mechanical), Operations Research, or a 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.
Nice to have
- Experience with factory simulation tools such as FlexSim, AnyLogic, or Simio.
- Experience with data analysis tools such as advanced Excel modeling, Python, SQL, Power BI/Tableau, or similar.
Pay
132,100.00 - 178,800.00 USD annually (base salary); 132,100.00 - 178,800.00 USD annually (base salary)
Tools
FlexSim, AnyLogic, Simio, Excel, Python, SQL, Power BI, Tableau
AI focus
Implement AI-driven tools and platforms, automate data pipelines, and enable predictive analytics for capacity, throughput, and cost optimization.
Model-written summary · the original posting is authoritative