Industrial Engineer - Lean Ops & Data Analytics

ao-inc

Sugar Land (TX)

On-site

USD 80,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Flexible health plans
Employer matching on 401(k)
Generous PTO policy
Relocation package available
Immigration sponsorships

Job summary

ao-inc is seeking a proactive and detail-oriented professional in Sugar Land, Texas, to optimize operational efficiency and profitability by managing production capacity and product costs. The successful candidate will drive continuous improvement initiatives aimed at enhancing productivity and quality while minimizing waste and lead times.

If you possess strong analytical skills, a degree in Industrial Engineering, and experience in semiconductor manufacturing, we want to hear from you! The role involves collaboration with teams to design solutions and manage projects.

Qualifications

  • Ability to work effectively in a fast-paced environment.
  • Experience in semiconductor manufacturing preferred.
  • Automation experience preferred.

Responsibilities

  • Partner with production and engineering teams for operational insights.
  • Design performance metrics and dashboards for monitoring.
  • Conduct assessments of manufacturing capabilities.
  • Drive labor productivity enhancements using Lean principles.
  • Utilize data analysis for strategic decision-making.
  • Manage cross-functional projects for process improvements.

Skills

Strong analytical skills
SQL programming
Python programming
MATLAB programming
Lean Six Sigma Green Belt
MES and ERP knowledge
Organizational skills
Planning and time management skills

Education

Bachelor’s degree in Industrial Engineering or related field

Job description

ao-inc is seeking a proactive and detail-oriented professional in Sugar Land, Texas, to optimize operational efficiency and profitability by managing production capacity and product costs. The successful candidate will drive continuous improvement initiatives aimed at enhancing productivity and quality while minimizing waste and lead times.

If you possess strong analytical skills, a degree in Industrial Engineering, and experience in semiconductor manufacturing, we want to hear from you! The role involves collaboration with teams to design solutions and manage projects.

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