Senior Industrial Analytics Engineer: Capacity & OEE

Amazon; Austin (TX); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon seeks a senior Industrial Engineer to design and manage IE models for capacity, PFEP, labor, and cost analytics in Austin, TX. You will drive factory planning, optimize capacity and headcount, and develop robust business cases for investments.

The role demands 7+ years in IE analytics, strong knowledge of manufacturing systems, and experience with data analytics tools and factory simulations to deliver actionable insights for leadership.

Qualifications

• Bachelor's degree in Industrial or Mechanical Engineering.
• 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 to connect capacity, labor, material flow, PFEP and COGS to support factory planning and operations.
• Build and maintain capacity models (target vs forecast vs gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis.
• Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems.
• Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost-benefit analysis.
• Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components.
• Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities.
• Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement.
• Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow.
• Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies.
• Integrate PFEP data into models to optimize material flow, storage, and line-side delivery strategies.
• Support factory layout, site planning, and material flow decisions through data-driven insights and modeling.
• Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans.
• Utilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance.
• Support factory ramp-up, installation, and operational readiness through model validation and performance tracking.
• Collaborate with cross-functional teams to align models with real-world constraints and business needs.
• Translate complex analytical outputs into clear, executive-level insights and recommendations.
• Collaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-making

Skills

Analytical thinking

Problem solving

Cross-functional collaboration

Education

Bachelor's degree in Industrial or Mechanical Engineering

Tools

Excel (Advanced modeling)

Python

SQL

Power BI

Tableau

AnyLogic/FlexSim familiarity

Job description

Amazon seeks a senior Industrial Engineer to design and manage IE models for capacity, PFEP, labor, and cost analytics in Austin, TX. You will drive factory planning, optimize capacity and headcount, and develop robust business cases for investments.

The role demands 7+ years in IE analytics, strong knowledge of manufacturing systems, and experience with data analytics tools and factory simulations to deliver actionable insights for leadership.