Data-Driven Process Optimization Engineer

Leer Inc.; Wisconsin; On-site; USD 70,000 - 95,000; Full time

Job summary

Leer Inc. seeks a Process Improvement Engineer to analyze and improve manufacturing processes, lead continuous improvement initiatives and apply lean techniques. The role collaborates with cross-functional teams to evaluate workflows, implement data-driven solutions and drive cost reductions.

The engineer will develop and maintain SOPs, BOMs and CAD-based designs, supporting production to enhance safety, quality and productivity in a dynamic environment.

Qualifications

• Bachelor's degree in engineering or equivalent experience.
• 2+ years of relevant design/improvement experience preferred.
• Working knowledge of manufacturing processes (sheet metal, weldments, machined parts).
• Solid modeling experience required; SolidWorks preferred.

Responsibilities

• Lead continuous improvement initiatives and lean projects.
• Analyze workflows to identify bottlenecks and implement data-driven solutions.
• Collaborate with cross-functional teams to optimize operations.
• Develop and maintain manufacturing documentation and SOPs.
• Support production to improve safety, quality, productivity and costs.

Skills

Process optimization

Lean manufacturing

Six Sigma

Statistical analysis

Education

Bachelor's degree in engineering

Tools

SolidWorks

AutoCAD

Job description

Leer Inc. seeks a Process Improvement Engineer to analyze and improve manufacturing processes, lead continuous improvement initiatives and apply lean techniques. The role collaborates with cross-functional teams to evaluate workflows, implement data-driven solutions and drive cost reductions.

The engineer will develop and maintain SOPs, BOMs and CAD-based designs, supporting production to enhance safety, quality and productivity in a dynamic environment.