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Statistical Process Control Engineer Jobs in Michigan

OtterBase

Quality Control Engineer

Sawyer, MI

Implement and maintain Statistical Process Control (SPC) practices on the manufacturing floor ... Read and interpret engineering drawings, blueprints, and GD&T requirements. Investigate quality ...

AK Steel

Process Control Engineer

Warren, MI · On-site

Warren, OH Cleveland-Cliffs, Inc. has an immediate opportunity for a Process Control Engineer at our Warren, OH, location. This role is critical to maintaining and improving the performance and ...

Wood Plc

Process Control Engineer

Lansing, MI · On-site

Overview / Responsibilities Wood Applied Intelligence -CEC Controls ( A Wood company) is currently recruiting for a Process Control Engineer. Individual must have training and/or experience in ...

OtterBase

Be Seen First

Quality Controls Engineer

New Troy, MI · On-site

$75K - $85K/yr

Implement and maintain Statistical Process Control (SPC) practices on the manufacturing floor ... Read and interpret engineering drawings, blueprints, and GD&T requirements. * Investigate quality ...

Wood Plc

Senior Process Control Engineer

Lansing, MI · On-site

$98K - $129K/yr

Overview / Responsibilities Wood Applied Intelligence -CEC Controls ( A Wood company) is currently recruiting for a Senior Process Control Engineer with experience in control systems integration.

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Statistical Process Control Engineer information

What does a Statistical Process Control Engineer do?

A Statistical Process Control (SPC) Engineer is responsible for designing, implementing, and maintaining systems that monitor and control manufacturing processes using statistical methods. They analyze data to identify trends, reduce process variation, and improve product quality. SPC Engineers work closely with production teams to ensure processes remain stable, efficient, and in compliance with industry standards. Their role often involves training staff in SPC techniques and troubleshooting quality issues using data-driven approaches.

What are the key skills and qualifications needed to thrive as a Statistical Process Control Engineer?

To thrive as a Statistical Process Control Engineer, you need a solid background in statistics, process engineering, and quality management, often supported by a degree in engineering or a related field. Familiarity with SPC software (such as Minitab or JMP), Six Sigma methodologies, and quality system certifications like ASQ are typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications are vital to maintain product quality, optimize processes, and drive continuous improvement within manufacturing or production environments.

How does a Statistical Process Control Engineer typically collaborate with production and quality teams to drive process improvements?

A Statistical Process Control Engineer regularly works alongside both production and quality assurance teams to identify trends, troubleshoot issues, and implement data-driven improvements. They analyze real-time data from manufacturing processes, facilitate root cause analysis sessions, and communicate findings through reports or presentations. Collaboration often includes training team members on SPC tools and methodologies, as well as guiding them in using statistical techniques to monitor and control process variability. This cross-functional teamwork ensures that process adjustments are both technically sound and operationally practical, leading to sustained quality improvements.

What is the difference between Statistical Process Control Engineer vs Quality Engineer?

AspectStatistical Process Control EngineerQuality Engineer
Primary FocusMonitoring and controlling manufacturing processes using statistical methodsEnsuring overall product quality through testing, inspection, and process improvements
CertificationsSix Sigma, Statistical Process Control (SPC) certificationsSix Sigma, Quality Management certifications (e.g., CQE)
Work EnvironmentManufacturing plants, process development labsQuality departments, production facilities
Industry UsageManufacturing, automotive, electronicsManufacturing, healthcare, aerospace

While both roles focus on improving product quality, the Statistical Process Control Engineer specializes in using statistical tools to monitor and control manufacturing processes, whereas the Quality Engineer oversees broader quality assurance activities, including testing and compliance. Understanding these differences helps in choosing the right career path or job search focus.

What is statistical process control in engineering?

Statistical Process Control (SPC) is a method used by engineers, including those in quality and manufacturing roles, to monitor and control a process through statistical analysis. It involves collecting data from production processes, using control charts to detect variations, and ensuring consistent product quality by identifying and addressing issues early. SPC tools like Pareto charts and process capability analysis are commonly employed to maintain process stability and improve efficiency.

What are popular job titles related to Statistical Process Control Engineer jobs in Michigan?

For Statistical Process Control Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Statistical Process Control Engineer jobs in Michigan look for?

The top searched job categories for Statistical Process Control Engineer jobs in Michigan are:

What cities in Michigan are hiring for Statistical Process Control Engineer jobs?

Cities in Michigan with the most Statistical Process Control Engineer job openings:

Statistical Process Control Engineer jobs near you

Quality Control Engineer

Sawyer, MI

OtterBase
Recruiting and Staffing Services • 201 - 500 employees
Learn more about OtterBaseexternal

Full-time

Posted 7 days ago

Job description

Job Description Job Summary The Quality Control Engineer is responsible for maintaining and improving product and process quality while ensuring compliance with applicable industry standards and customer requirements. This role utilizes data analysis, quality engineering tools, and structured problem-solving methods to identify issues, implement corrective actions, and drive continuous improvement across manufacturing processes. Job Responsibilities Manage corrective and preventive actions for internal processes and customer quality concerns.

Develop and optimize process parameters to support consistent product quality. Implement and maintain Statistical Process Control (SPC) practices on the manufacturing floor. Apply Lean Manufacturing principles and continuous improvement techniques to improve processes and reduce waste.

Read and interpret engineering drawings, blueprints, and GD&T requirements. Investigate quality issues using root cause analysis and other structured problem-solving methods. Prepare, complete, and implement 8D corrective action reports.

Support the development and maintenance of PFMEAs, control plans, and capability studies. Analyze quality data and trends to identify process improvement opportunities. Collaborate with production, engineering, and other teams to resolve quality concerns and prevent recurrence.

Maintain a strong customer-focused approach when addressing quality issues and requirements. Job Requirements 4-7 years of experience in Quality Engineering, Quality Control Engineering, or a similar manufacturing quality role. Experience working within an automotive IATF 16949 quality management system.

Hands-on knowledge of Statistical Process Control (SPC), including implementation and ongoing utilization. Experience with root cause analysis and proven problem-solving methodologies. Familiarity with PFMEA, control plans, and process capability studies.

Working knowledge of blueprint interpretation and Geometric Dimensioning & Tolerancing (GD&T). Experience completing and implementing 8D corrective actions. Strong analytical skills with the ability to make consistent, data-driven decisions.

Detail-oriented with strong organizational and follow-through skills. Self-motivated and able to work independently while contributing effectively within a team environment. Strong customer service, communication, and interpersonal skills.

Proficiency with Microsoft Office Suite. Experience with MeasureLink is preferred but not required. Ability to bend, stoop, reach, twist, stand, walk, push, pull, and lift/move items weighing 50 pounds or more as required.

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