Manufacturing Industrial Engineer - Lean

Siemens

Grand Prairie (TX)

On-site

USD 65,000 - 95,000

Full time

6 days ago
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Job summary

Siemens is seeking an Industrial Engineer to analyze operations and design workflows that reduce waste and guarantee quality in a power distribution equipment factory.

You will lead Kaizen events, perform time studies, and apply lean principles to optimize manufacturing processes, supported by data analysis, 6 Sigma concepts, and continuous improvement mindset.

Qualifications

  • Bachelor's degree in Industrial Engineering or related field.
  • 2-4 years of manufacturing experience.
  • Proficiency in lean manufacturing techniques and data analysis.
  • SAP and AutoCAD experience preferred.

Responsibilities

  • Analyze operations and design workflows to reduce inefficiency and ensure quality.
  • Lead Kaizen events.
  • Perform time studies.
  • Implement lean principles to optimize manufacturing processes.

Skills

Lean Manufacturing
Industrial Engineering
Value Stream Mapping
Kaizen
5S
Time Studies
Data Analysis
Project Management
AutoCAD
SAP
6 Sigma
Workflow Design
MRP Systems
Process Optimization
Cost Reduction

Education

Bachelor's degree in Industrial Engineering or related field

Tools

AutoCAD
SAP

Job description

The role involves analyzing operations and designing workflows to reduce inefficiency and ensure quality standards in a power distribution equipment factory. Key tasks include leading Kaizen events, performing time studies, and implementing lean principles to optimize manufacturing processes.

Requirements: Candidates must have a Bachelor's degree in Industrial Engineering or a related field and 2-4 years of relevant manufacturing experience. Proficiency in lean manufacturing techniques and data analysis is required, with SAP and AutoCAD experience preferred.

Key Skills: Lean Manufacturing, Industrial Engineering, Value Stream Mapping, Kaizen, 5S, Time Studies, Data Analysis, Project Management, AutoCAD, SAP, 6 Sigma, Workflow Design, MRP Systems, Process Optimization, Cost Reduction

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