Manufacturing Engineer – Data-Driven Operations (Preferred Locations Waukesha, WI, State College PA, Noblesville, IN)

GE HealthCare

Not Interested
Bookmark
Report This Job

profile Job Location:

Waukesha, WI - USA

profile Yearly Salary: $ 84800 - 127200
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Description Summary

We are seeking a forward-thinking Manufacturing Engineer with a strong foundation in traditional manufacturing processes and a passion for leveraging data analytics to drive operational excellence. The ideal candidate will combine engineering expertise with skills in data analytics using scripts (e.g. Python R JMP Minitab VBA SQL) and Power BI to optimize production systems improve quality and support digital transformation initiatives.

Job Description

Key Responsibilities

  • Analyze manufacturing processes to identify opportunities for improvement in efficiency quality delivery and cost.

  • Develop and implement data-driven solutions using Power BI dashboards and custom scripts to monitor and enhance production performance.

  • Collaborate with cross-functional teams for requirements gathering to improve reporting and data accessibility.

  • Support root cause analysis and corrective actions using statistical tools and data modeling.

  • Develop Proof of Concept Solutions to improve operations.

Required Qualifications

  • Bachelors degree in Manufacturing Engineering Industrial Engineering Mechanical Engineering or related field.

  • Minimum 4 years of experience in a manufacturing environment.

  • Experience with MES ERP or other manufacturing systems.

  • Proficiency in Power BI or similar software like Tableau Spotfire etc for data visualization and reporting.

  • Experience with coding/scripting (e.g. Python R JMP Minitab SQL VBA or similar).

  • Strong analytical and problem-solving skills.

  • Familiarity with lean manufacturing Six Sigma or continuous improvement methodologies.

Preferred Qualifications

  • Knowledge of digital twin technologies and data integration.

  • Certification in Lean Six Sigma or similar.

  • Experience with database management.

  • Experience with Industry 4.0 technologies and smart factory initiatives

  • Open to learn new skills especially in coding using Python SQL R PowerBI and others.

  • Willing to fail to learn about potential pitfalls and to determine possible roadblocks.

#LI-SAM1

#LI-WI

#LI-PA

#LI-IN

We will not sponsor individuals for employment visas now or in the future for this job opening. For U.S. based positions only the pay range for this position is $84800.00-$127200.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills qualifications experience and addition this position may also be eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package including not but limited to medical dental vision paid time off a 401(k) plan with employee and company contribution opportunities life disability and accident insurance and tuition reimbursement.

Additional Information

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

Application Deadline: January 10 2026
Job Description SummaryWe are seeking a forward-thinking Manufacturing Engineer with a strong foundation in traditional manufacturing processes and a passion for leveraging data analytics to drive operational excellence. The ideal candidate will combine engineering expertise with skills in data anal...
View more view more

Key Skills

  • Lean Manufacturing
  • Six Sigma
  • CNC Programming
  • Lean
  • Machining
  • Tooling
  • CAD
  • CNC
  • Assembly Experience
  • SolidWorks
  • Kaizen
  • Manufacturing

About Company

Company Logo

GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients

View Profile View Profile