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Statistical Process Control Spc Jobs (NOW HIRING)

Prosum Inc.

Implant Engineer

Newport Beach, CA · On-site

Apply Statistical Process Control (SPC) methodologies to monitor and improve manufacturing processes. * Collaborate with process, device, integration, yield, and manufacturing engineering teams to ...

Prosum

Implant Engineer

Newport Beach, CA · On-site

Apply Statistical Process Control (SPC) methodologies to monitor and improve manufacturing processes. * Collaborate with process, device, integration, yield, and manufacturing engineering teams to ...

Heraeus

Process Engineer

Chandler, AZ

Apply Statistical Process Control (SPC), process capability analysis, and data analytics to drive process improvements and reduce variation. * Troubleshoot and optimize manufacturing equipment ...

Heraeus Medical LLC

Process Engineer

Chandler, AZ · On-site

Apply Statistical Process Control (SPC), process capability analysis, and data analytics to drive process improvements and reduce variation. * Troubleshoot and optimize manufacturing equipment ...

Oclaro

Senior Wafer Process Engineer

San Jose, CA · On-site

$87K - $125K/yr

Develop and maintain documentation and statistical process control (SPC) charts appropriate to a wafer manufacturing Fab. * Data Analysis and correlation of defects with process parameters across ...

Actalent

Process Controller

Kankakee, IL · On-site

$18.50 - $21.61/hr

Develop and maintain Statistical Process Control (SPC) weight sheets to monitor product compliance. * Ensure the calibration and proper functioning of scales and other measuring equipment. * Conduct ...

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Statistical Process Control Spc information

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$52.5K

$98.8K

$147K

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

As of Aug 12, 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 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 is the role of statistical process control SPC?

Statistical Process Control (SPC) is a method used by professionals such as SPC specialists to monitor and control manufacturing processes through statistical analysis. It involves collecting data, using control charts, and identifying variations to ensure product quality and process stability. SPC helps in reducing defects and improving efficiency by enabling timely corrective actions.

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 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.

Is Statistical Process Control SPC still relevant today?

Statistical Process Control (SPC) remains a vital tool for quality management and process improvement in manufacturing and other industries. SPC techniques, such as control charts and data analysis, are widely used to monitor processes, reduce variability, and ensure product consistency, making it a relevant skill for SPC professionals today.

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.

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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:
Statistical Process Control Spc jobs near you
Infographic showing various Statistical Process Control Spc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

Senior Quality Manager

Insero Talent Solutions

Rochester, NY • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Insero Talent Solutions is recruiting a Senior Quality Manager for a growing optical manufacturing company in Rochester, NY.

We are seeking a Senior Quality Department Manager to lead quality initiatives and drive continuous improvement. This role requires expertise in ISO 9001, ISO 13485, and IATF 16949 certifications, as well as lean daily management, Six Sigma, and strategic deployment tools like the Hoshin Matrix and Goal Deployment Process (GDP). The ideal candidate will bring deep experience in Statistical Process Control (SPC) and a Six Sigma Black Belt (preferred) to optimize quality systems.

Key Responsibilities:

  • Serve as the company-wide leader for quality initiatives, ensuring compliance with ISO 9001, ISO 13485, and IATF 16949.
  • Lead lean daily management and implement leadership principles to drive operational excellence.
  • Oversee quality control and quality assurance functions, including metrology, calibration, and document control.
  • Drive continuous improvement using Corrective and Preventive Actions (CAPA) and real-time process monitoring.
  • Apply Statistical Process Control (SPC) and Six Sigma methodologies to enhance product quality.
  • Develop, track, and report quality objective metrics to support data-driven decision-making.
  • Supervise internal auditing programs and facilitate management review meetings to enhance the Quality System.
  • Ensure accurate inspection documentation for parts and raw materials.
  • Act as the voice of the customer, ensuring all quality initiatives align with customer expectations.

Qualifications:

  • Bachelor's degree in Engineering, Quality Management, or related field preferred.
  • Minimum 5-7 years of experience in a senior quality leadership role.
  • Strong understanding of ISO 9001, ISO 13485, and IATF 16949 standards.
  • Six Sigma Black Belt certification preferred.
  • Expertise in Statistical Process Control (SPC) and process monitoring.
  • Familiarity with the Hoshin Matrix and Goal Deployment Process (GDP).
  • Experience with lean principles and daily management methodologies.
  • Proven ability to lead teams, drive change, and implement quality improvements.
  • Strong problem-solving and analytical skills.
  • Excellent communication and leadership abilities.