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Statistical Process Control Jobs in Charlotte, NC

Knowledge of Statistical Process Control (SPC); Lean Six Sigma experience preferred. * Strong organizational skills with the ability to manage multiple short- and long-term projects. * Excellent ...

Knowledge of Statistical Process Control (SPC); Lean Six Sigma experience preferred. * Strong organizational skills with the ability to manage multiple short- and long-term projects. * Excellent ...

Systems Architect

Charlotte, NC · On-site

$68 - $73/hr

Experience implementing Statistical Process Control (SPC) methodologies and operational performance monitoring frameworks. * Experience with Python, APIs, Git-based source control, and Agile ...

Experience with DMAIC methodology, statistical process control (SPC) and control charts, Design of Experiments (DOE), Failure Mode and Effects Analysis (FMEA), and structured root cause analysis.

Establish, monitor, and maintain statistical process control (SPC) limits for key products and processes within the melt and remelt departments. * Provide technical support in resolving process ...

Establish, monitor, and maintain statistical process control (SPC) limits for key products and processes within the melt and remelt departments. * Provide technical support in resolving process ...

Establish, monitor, and maintain statistical process control (SPC) limits for key products and processes within the melt and remelt departments. * Provide technical support in resolving process ...

Senior Process Engineer (Metallurgy)

Monroe, NC · On-site

$96K - $124K/yr

Establish, monitor, and maintain statistical process control (SPC) limits for key products and processes within the melt and remelt departments. * Lead or participate in customer audits of ATI ...

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Statistical Process Control information

See Charlotte, NC salary details

$82.5K

$143.9K

$243.2K

How much do statistical process control jobs pay per year?

As of Aug 27, 2026, the average yearly pay for statistical process control in Charlotte, NC is $143,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $156,300.00 per year, depending on experience, location, and employer.

What is statistical process control?

A Statistical Process Control (SPC) job involves monitoring and improving manufacturing or business processes using statistical methods. SPC professionals collect and analyze data to detect variations, identify root causes, and ensure process stability and efficiency. They use control charts, process capability analysis, and other tools to maintain quality standards. Their goal is to reduce defects, minimize waste, and improve overall performance.

What are the typical daily responsibilities for someone working in statistical process control?

In a Statistical Process Control role, your day-to-day tasks often include collecting and analyzing production data, generating control charts, and identifying trends or deviations in process performance. You will frequently collaborate with production teams and engineers to investigate causes of process variation and recommend improvements. Preparing detailed reports, conducting root cause analyses, and supporting quality audits are also common aspects of the job. This role requires a blend of technical analysis and hands-on engagement with cross-functional teams to ensure consistent product quality and efficient manufacturing operations.

What are the key skills and qualifications needed to thrive in statistical process control, and why are they important?

To thrive in Statistical Process Control, a strong background in statistics, data analysis, and industrial process optimization—often supported by a degree in engineering, mathematics, or related fields—is essential. Familiarity with statistical software (such as Minitab, JMP, or SPSS), process monitoring tools, and industry certifications like Six Sigma are commonly required. Excellent problem-solving, attention to detail, and effective communication skills set standout professionals apart in this role. These abilities are crucial for accurately monitoring production quality, driving continuous improvement, and ensuring process stability in manufacturing environments.

What does a statistical process control specialist do?

A statistical process control specialist monitors manufacturing processes using statistical methods to ensure quality and consistency. They analyze data from production, develop control charts, and identify variations to prevent defects, often using tools like Minitab or SPC software. Certification in quality management and strong analytical skills are typically required for this role.

What are popular job titles related to Statistical Process Control jobs in Charlotte, NC?

For Statistical Process Control jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Statistical Process Control jobs in Charlotte, NC look for?

The top searched job categories for Statistical Process Control jobs in Charlotte, NC are:

Infographic showing various Statistical Process Control job openings in Charlotte, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $143,862 per year, or $69.2 per hour.

Manufacturing Process Engineer

Huntersville, NC • On-site

$69K - $92K/yr

Full-time

Re-posted 20 days ago


Job description

Where would you like to shape the success of your future career: At a worldwide leading manufacturer of process measuring and control technology? In a family- owned company that values its more than 3,700 employees in more than 30 countries and sees them all as individuals? In a team that breaks new ground with courage and passion?
Did you answer "Yes" three times? Then it is time for us to make your acquaintance.
RESPONSIBILITIES:
  • Manage efficiency of CNC machine systems and standard components.
  • Drive spindle time optimization across turning, milling, and multi-axis machining cells.
  • Conduct time studies, cycle time analysis, capacity modeling to identify improvement opportunities
  • Continuously improve machine scheduling practices using SAP.
  • Tool presetting, tool life management, and structured tool building
  • Define and enforce setup standards.
  • Analyze and reduce machine downtime.
  • Partner with CNC programmers on CAM strategy improvements.
  • Lead root cause analysis on scrap, rework, and non-conformances originating in machining.
  • Develop and execute a structured improvement roadmap between audit cycles
  • Lead and facilitate improvement workshops.
  • Ensure annual instruction plans are current and compliant.
  • Author and maintain Factory Standards, work instructions, BOPs, control plans, and process flow documentation for all manufacturing processes
  • Ensure SAP routing data accurately reflects current process times, sequences, and resource assignments.
  • Maintain digital machine handbooks (SI08) for production CNC equipment
  • Establish structured filing practices on the production drive.
  • Support welding process development
  • Contribute to process improvements in secondary operations

REQUIREMENTS:
* Bachelor's degree in Manufacturing, Mechanical, or Industrial Engineering, or a closely related technical discipline is required.
* 3 - 8 years of progressive experience in a precision CNC machining environment, including hands-on work with turning, milling, and multi-axis machining of close-tolerance components in metals (stainless steel, brass, aluminum) and/or engineered plastics.
  • Experience in machining process improvement
  • Direct experience with SAP production modules.
  • Hands-on experience with tool management systems.
  • Experience leading Kaizen events, Value Stream Mapping sessions, and 5S programs in a machining or fabrication environment.
  • CAD/CAM proficiency with Siemens NX, Mastercam, or equivalent software.
  • Familiarity with GD&T precision measurement techniques, and CMM-based inspection processes as they apply to machined components.
  • OEE measurement and analysis.
  • Experience with Value Stream Mapping, Kaizen event facilitation, 5S/6S workplace organization, Total Productive Maintenance (TPM), Single-Minute Exchange of Dies (SMED).
  • Experience with DMAIC methodology, statistical process control (SPC) and control charts, Design of Experiments (DOE), Failure Mode and Effects Analysis (FMEA), and structured root cause analysis.
  • Experience with Factory Standards, BOP's, control plans, and process documentation
  • Required Leadership behaviors: Practitioner mindset, Independent and balanced perspective, ownership, willingness to learn adjacent processes and grow the role over time

In return, we offer you exciting and challenging responsibilities, diverse perspectives with a high degree of individual freedom and a corporate culture that encourages you to use it.
Curious? Then we look forward to receiving your application.