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Statistical Process Control Spc Jobs (NOW HIRING)

Utilize Statistical Process Control (SPC) and process capability analysis to reduce variation and improve manufacturing performance. * Optimize production processes to increase yield, throughput, and ...

Monitor and reduce process variation using Statistical Process Control (SPC) and Measurement Systems Analysis (MSA); audit manufacturing processes to ensure product specifications and standards are ...

Statistical Process Control (SPC) * Process Improvement Methodologies * Root Cause Analysis * Capital Equipment Project Management ATS Optimization Keywords Hard Skills * Manufacturing Process ...

Quality Technician

Lebanon, KY · On-site

$15.50 - $20.75/hr

Knowledge of Statistical Process Control (SPC) techniques and basic quality tools. * Experience using inspection and measurement equipment, including calipers and micrometers. * Strong attention to ...

A deep understanding of advanced quality tools such as Lean Manufacturing, Statistical Process Control (SPC), and Value Stream Mapping is essential. In this role, the Senior Quality Engineer will ...

Understands and applies skills and knowledge in Statistical Process Control (SPC) technology, to maximize plant asset utilization and produce low cost, quality products. * Review area performance ...

Quality Engineer

Springdale, AR · On-site

$63K - $82K/yr

Lead the implementation and analysis of Statistical Process Control (SPC) to monitor process stability and capability. * Conduct Layered Process Audits (LPA) to ensure strict adherence to defined ...

A deep understanding of advanced quality tools such as Lean Manufacturing, Statistical Process Control (SPC), and Value Stream Mapping is essential. In this role, the Senior Quality Engineer will ...

Showing results 41-60

Statistical Process Control SPC information

See salary details

$52.5K

$98.8K

$147K

How much do statistical process control spc jobs pay per year?

As of Sep 13, 2026, the average yearly pay for statistical process control spc in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What is statistical process control (SPC)?

Statistical Process Control (SPC) is a method used in manufacturing and other industries to monitor and control processes through the use of statistical tools. By collecting and analyzing data from production processes, SPC helps identify variations that could indicate problems or areas for improvement. Common tools include control charts, process capability analysis, and histograms. The goal of SPC is to ensure that processes operate efficiently, produce consistent quality, and reduce waste or defects.

What are the key skills and qualifications needed to thrive as a statistical process control (SPC) specialist?

To thrive as a Statistical Process Control (SPC) Specialist, you need a solid background in statistics, quality management, and process improvement, usually supported by a degree in engineering, mathematics, or a related field. Familiarity with statistical software (such as Minitab or JMP), control charting, and Six Sigma or other quality certifications is typically required. Attention to detail, analytical thinking, and effective communication skills help SPC specialists interpret data and drive process improvements across teams. These skills ensure accurate process monitoring, reduce variability, and promote consistent product quality in manufacturing or production environments.

What are some common challenges faced by statistical process control (SPC) specialists when implementing new control systems?

SPC Specialists often encounter challenges such as resistance to change from production teams, ensuring accurate data collection, and integrating new control systems with existing manufacturing processes. It can require significant effort to train staff on proper data recording and interpretation of control charts. Collaborating closely with operators and quality engineers is essential to address these challenges and drive continuous improvement in process quality.

What is the difference between Statistical Process Control Spc vs Quality Control Technician?

AspectStatistical Process Control SpcQuality Control Technician
CertificationsASQ SPC Certification, Six SigmaASQ CQI Certification, Six Sigma
Work EnvironmentManufacturing, production lines, quality departmentsManufacturing plants, inspection areas, quality labs
Primary FocusMonitoring and analyzing process data to control qualityInspecting products, identifying defects, ensuring quality standards

While both roles focus on quality, Statistical Process Control Spc specialists analyze data to optimize processes, whereas Quality Control Technicians perform inspections and identify defects. SPC professionals develop statistical methods to prevent issues, while QC Technicians verify product quality at various stages.

Is statistical process control SPC still relevant today?

Statistical Process Control (SPC) remains a vital tool for SPC professionals to monitor and improve manufacturing processes by analyzing data and reducing variability. Its principles are widely used in quality management systems and are supported by software tools like control charts, making SPC a relevant skill for ensuring product consistency and compliance today.
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What job categories do people searching Statistical Process Control Spc jobs look for?

The top searched job categories for Statistical Process Control Spc jobs are:

Infographic showing various Statistical Process Control Spc job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

Quality and Process Control Manager

Jackson, MI • On-site

$130K - $145K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

We are seeking a Quality and Process Control Manager to lead quality assurance and process control initiatives that drive operational excellence, process stability, and continuous improvement within a manufacturing environment. The ideal candidate will have a strong background in quality systems, process optimization, and team leadership, with a proven ability to implement data-driven strategies that improve product quality, reduce defects, and enhance overall manufacturing performance.

Position ResponsibilitiesBuild & Lead the Quality Organization
  • Develop and lead a high-performing quality and process control team.
  • Establish clear ownership, performance metrics, and standardized work practices.
  • Foster a culture of accountability, collaboration, and continuous improvement.
Process Control & Risk Management
  • Lead the implementation and maintenance of Process Failure Mode and Effects Analysis (PFMEA) and Control Plans.
  • Identify process risks and develop effective preventive controls, monitoring systems, and response plans.
  • Continuously evaluate and improve process control strategies.
Process Stability & Performance Improvement
  • Utilize Statistical Process Control (SPC) and process capability analysis to reduce variation and improve manufacturing performance.
  • Optimize production processes to increase yield, throughput, and operational efficiency.
  • Drive initiatives that improve process consistency and reliability.
Quality Management Systems
  • Lead the implementation and continuous improvement of the Quality Management System (QMS).
  • Oversee internal audits, corrective and preventive actions (CAPA), measurement system analysis (MSA), and compliance activities.
  • Integrate quality data systems to support real-time performance monitoring and decision-making.
Continuous Improvement
  • Lead structured problem-solving initiatives using methodologies such as DMAIC and 8D.
  • Analyze quality data and customer feedback to identify improvement opportunities.
  • Implement sustainable corrective actions and standardize best practices across operations.
Cross-Functional Collaboration
  • Partner with Engineering, Operations, Production, and Supply Chain teams to improve manufacturing processes.
  • Support new product introductions by ensuring quality planning and process readiness.
  • Communicate quality performance and improvement initiatives to leadership.
Prerequisites
  • Bachelor's degree in Engineering or a related technical discipline.
  • Minimum of 10 years of experience within a manufacturing quality organization.
  • At least 5 years of leadership experience managing and developing technical teams.
  • Strong experience with Quality Management Systems (QMS), SPC, PFMEA, Control Plans, and CAPA.
  • Experience utilizing statistical analysis and process capability tools to drive continuous improvement.
  • Excellent analytical, leadership, communication, and problem-solving skills.
  • Ability to lead cross-functional teams in a fast-paced manufacturing environment.
Certifications (Preferred, but Not Required)
  • Lean Six Sigma Green Belt or Black Belt
  • American Society for Quality (ASQ) Certification (CQE, CQM/OE, or equivalent)
  • ISO Internal Auditor Certification
  • Other quality or manufacturing process certifications
What the Role Offers
  • Salary Range: $130,000 – $145,000 annually.
  • Comprehensive medical, dental, and vision insurance.
  • 401(k) with company match and retirement savings programs.
  • Paid time off and paid parental leave.
  • Flexible spending and health savings account options.
  • Life, disability, and supplemental insurance programs.
  • Employee wellness and assistance programs.
  • Professional development, leadership training, and career advancement opportunities.
  • Employee discount and additional voluntary benefit programs.
Why Jackson?

Jackson offers a strong manufacturing presence and an excellent environment for professionals seeking long-term career growth in advanced manufacturing. The area provides access to a skilled workforce, a collaborative industrial community, and opportunities to contribute to innovative production processes while enjoying a balanced quality of life.

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