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Statistical Process Control Jobs in Wichita, KS (NOW HIRING)

Manufacturing Engineer

Wichita, KS · On-site

$65K - $84K/yr

SPC (Statistical Process Control) * Experience working with ERP/MRP systems (SAP, Oracle, or similar). * Ability to analyze manufacturing data using Excel, Minitab, or similar tools. * Familiarity ...

Deburr Operator

Park City, KS · On-site

$20 - $27/hr

Able to demonstrate proficiency in advanced Statistical Process Control (SPC) training, Continuous Quality Improvement (CQI) training, and skills in shop math Note: This description indicates, in ...

Process Engineer III

Newton, KS · On-site

$88K - $121K/yr

Train production personnel on Statistical process Control (SPC). * Leads the application and interpretation of SPC charting Train and educates personnel on company products, plant and corporate ...

Train production personnel on Statistical process Control (SPC). * Leads the application and interpretation of SPC charting Train and educates personnel on company products, plant and corporate ...

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Instruments may include calipers, micrometers, Statistical Process Control (SPC), height gauges, and gauge blocks. * Assists in loading and unloading machines when production requires. * Perform ...

Basic knowledge of theory and principles of statistics and statistical process control. * Expertise in using statistical analysis tools such as Minitab, JMP, Win SPC Strong history of systematic ...

Manufacturing Quality Engineer

Wichita, KS · On-site

$66K - $85K/yr

Basic knowledge of theory and principles of statistics and statistical process control. * Expertise in using statistical analysis tools such as Minitab, JMP, Win SPC Strong history of systematic ...

Instruments may include calipers, micrometers, Statistical Process Control (SPC), height gauges, and gauge blocks. * Assists in loading and unloading machines when production requires. * Perform ...

Instruments may include calipers, micrometers, Statistical Process Control (SPC), height gauges, and gauge blocks. * Assists in loading and unloading machines when production requires. * Perform ...

Supply Chain Quality Engineer

Wichita, KS

$53K - $69K/yr

Experience with Statistical Process Control (SPC) * Experience with Power Query or advanced Excel tools * Experience with CMM, CATIA, Verisurf, or Romer Arm Core Competencies * Strong problem-solving ...

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Statistical Process Control information

See Wichita, KS salary details

$75.6K

$131.8K

$222.8K

How much do statistical process control jobs pay per year?

As of Jun 30, 2026, the average yearly pay for statistical process control in Wichita, KS is $131,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $143,100.00 per year, depending on experience, location, and employer.

What is a statistical process control job description?

A statistical process control (SPC) job involves monitoring and analyzing manufacturing or business processes using statistical methods to ensure quality and consistency. Responsibilities include collecting data, creating control charts, identifying process variations, and implementing improvements, often requiring knowledge of tools like Minitab or SPC software. Certification in quality management and strong analytical skills are typically valued in this role.

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.

Is statistical process control still relevant?

Statistical process control (SPC) remains a vital tool for quality management and process improvement in manufacturing and service industries. It involves using control charts and data analysis to monitor processes, ensuring consistency and reducing defects, and is supported by certifications like Six Sigma. SPC continues to be relevant with the integration of automation and data analytics technologies.

What are the key skills and qualifications needed to thrive in the Statistical Process Control position, 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 statistical process control do?

Statistical Process Control (SPC) is a method used by professionals in quality management to monitor and control manufacturing processes through statistical analysis. It helps identify variations, ensure product consistency, and improve process efficiency by using tools like control charts and process data analysis.

What is a Statistical Process Control job?

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 is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data science director, quantitative analyst, or actuarial director, which can offer six-figure salaries. These positions typically require advanced skills in statistical modeling, programming, and experience in finance, insurance, or technology sectors.
What are popular job titles related to Statistical Process Control jobs in Wichita, KS? For Statistical Process Control jobs in Wichita, KS, the most frequently searched job titles are:
What job categories do people searching Statistical Process Control jobs in Wichita, KS look for? The top searched job categories for Statistical Process Control jobs in Wichita, KS are:
Infographic showing various Statistical Process Control job openings in Wichita, KS as of June 2026, with employment types broken down into 4% As Needed, 41% Full Time, 8% Part Time, 4% Temporary, 40% Contract, and 3% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $131,768 per year, or $63.4 per hour.
Manufacturing Engineer

$65K - $84K/yr

Full-time

Posted 28 days ago


Key responsibilities

  • Design, develop, and optimize manufacturing processes, tooling, and production workflows.

  • Troubleshoot process issues and implement corrective actions using root cause analysis methods.

  • Lead continuous improvement initiatives using Lean Manufacturing and Six Sigma principles.


Job description

Manufacturing Engineer
Job Summary
The Manufacturing Engineer is responsible for developing, implementing, and optimizing manufacturing processes to improve product quality, efficiency, and cost effectiveness. This role supports production operations, troubleshoots manufacturing issues, and leads continuous improvement initiatives to ensure reliable and scalable manufacturing systems.

Key Responsibilities
  • Design, develop, and optimize manufacturing processes, tooling, and production workflows.
  • Analyze production data to improve throughput, yield, and equipment efficiency.
  • Develop and maintain work instructions, production planning, process documentation, and standard operating procedures (SOPs).
  • Troubleshoot process issues and implement corrective actions using root cause analysis methods.
  • Lead continuous improvement initiatives using Lean Manufacturing and Six Sigma principles.
  • Design and implement fixtures, jigs, and tooling to improve manufacturing productivity.
  • Support new product introduction (NPI) by evaluating manufacturability and establishing production processes.
  • Conduct time studies, capacity analysis, and line balancing to improve production efficiency.
  • Collaborate with quality teams to ensure compliance with product specifications and regulatory standards, as well as MRB activity (Material Review Board).
  • Evaluate new equipment, automation systems, and manufacturing technologies.
  • Support plant layout planning and workflow optimization.
  • Ensure manufacturing processes comply with safety, quality, and environmental standards.

Required Qualifications
  • Bachelor’s degree in Manufacturing Engineering, Mechanical Engineering, or related field.
  • 2–5 years of experience in a manufacturing or production environment.
  • Strong problem-solving and analytical skills.
  • Excellent communication and cross-functional collaboration abilities.

Technical Qualifications
  • Experience with CAD/Catia software (SolidWorks, AutoCAD, or similar) for tooling, fixture, or process design. (FiberSim experience would be beneficial)
  • Knowledge of manufacturing processes such as machining, composite fabrication, assembly, or automation.
  • Experience with Lean Manufacturing tools (5S, Kaizen, Value Stream Mapping, Standard Work).
  • Familiarity with Six Sigma methodologies and statistical analysis techniques.
  • Knowledge of process control and quality tools such as:
    • PFMEA (Process Failure Mode and Effects Analysis)
    • Control Plans
    • Root Cause Analysis (5 Whys, Fishbone)
    • SPC (Statistical Process Control)
  • Experience working with ERP/MRP systems (SAP, Oracle, or similar).
  • Ability to analyze manufacturing data using Excel, Minitab, or similar tools.
  • Familiarity with industrial automation systems, PLCs, sensors, and robotics (preferred).
  • Knowledge of GD amp;T (Geometric Dimensioning and Tolerancing) and engineering drawings.
  • Understanding process validation and capability analysis (Cp/Cpk).
  • Experience with equipment qualification, process validation, and production ramp-up is helpful.

Preferred Qualifications
  • Lean Manufacturing or Six Sigma Green Belt certification.
  • Experience with automation integration or Industry 4.0 technologies.
  • Experience supporting high-volume production environments.
  • Project management experience.

Work Environment
  • Combination of office work and hands-on support on the manufacturing floor.
  • May require standing, walking, and occasional lifting while supporting production operations.