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Internship Statistical Process Control Jobs in New York

Familiarity with statistical process control (SPC) * Knowledge of ERP/MRP systems or digital quality management tools. * Prior experience completing FAIRs or PPAPs. Computer Skills Necessary ...

Familiarity with statistical process control (SPC) * Knowledge of ERP/MRP systems or digital quality management tools. * Prior experience completing FAIRs or PPAPs. Computer Skills Necessary ...

QC Analyst II

Orangeburg, NY · On-site

$24 - $29/hr

Maintains statistical process control charts and other tracking reports Budget Managed (if applicable): * N/A Internal Networking/Key Relationships: * To be determined based on department needs ...

Maintains statistical process control charts and other tracking reports Budget Managed (if applicable): * N/A Internal Networking/Key Relationships: * To be determined based on department needs ...

Maintains statistical process control charts and other tracking reports Budget Managed (if applicable): * N/A Internal Networking/Key Relationships: * To be determined based on department needs ...

Maintains statistical process control charts and other tracking reports Budget Managed (if applicable): * N/A Internal Networking/Key Relationships: * To be determined based on department needs ...

Maintains statistical process control charts and other tracking reports Budget Managed (if applicable): * N/A Internal Networking/Key Relationships: * To be determined based on department needs ...

Familiarity with statistical process control (SPC) * Knowledge of ERP/MRP systems or digital quality management tools. * Prior experience completing FAIRs or PPAPs. Computer Skills Necessary ...

PVD Process Technician

New York, NY · On-site

$43K - $70K/yr

Review Statistical Process Control charts for product quality and react to Out-of-Control conditions including defect troubleshooting * Complete relevant event documentation and effectively ...

Chemical Operator

New York, NY · On-site

$28.79/hr

Collect and report process data using Statistical Process Control Tools What You Need to Succeed: * Associate or bachelor's degree in a science related field * Demonstrated knowledge of measurement ...

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Internship Statistical Process Control information

What are the key skills and qualifications needed to thrive as an Internship Statistical Process Control, and why are they important?

To thrive in an Internship for Statistical Process Control, you need a solid understanding of statistics, data analysis, and quality management principles, typically gained through coursework in engineering or a related field. Familiarity with statistical software such as Minitab, Excel, or JMP, as well as knowledge of SPC charts and quality systems, is commonly expected. Attention to detail, problem-solving skills, and effective communication enable interns to analyze data accurately and work collaboratively within teams. These skills are vital for identifying process improvements, ensuring product quality, and supporting efficient manufacturing operations.

What is an Internship in Statistical Process Control?

An Internship in Statistical Process Control (SPC) is a temporary, hands-on work experience where interns learn to monitor and improve manufacturing or business processes using statistical methods. Interns typically collect data, analyze process performance, and help identify areas for improvement using SPC tools like control charts and process capability analysis. This internship is valuable for students or recent graduates interested in quality assurance, process engineering, or data analysis, providing practical exposure to real-world applications of statistics in industry.

What types of projects can I expect to work on during an Internship in Statistical Process Control?

As an intern in Statistical Process Control (SPC), you will typically assist with collecting and analyzing production data to monitor and improve manufacturing processes. Common projects include implementing control charts, conducting process capability studies, and collaborating with cross-functional teams to identify process variations and recommend improvements. You may also be involved in preparing reports, presenting findings to supervisors or engineers, and supporting ongoing quality assurance initiatives. These experiences provide valuable hands-on exposure to real-world problem-solving and teamwork within a manufacturing or quality-focused environment.

What is the difference between Internship Statistical Process Control vs Quality Control Intern?

AspectInternship Statistical Process ControlQuality Control Intern
CertificationsBasic knowledge of SPC tools, statistical methodsUnderstanding of quality standards, inspection techniques
Work EnvironmentManufacturing, production lines, data analysisInspection labs, production facilities, quality departments
Industry UsageManufacturing, automotive, electronicsManufacturing, consumer goods, pharmaceuticals

Internship Statistical Process Control focuses on analyzing data to monitor and improve manufacturing processes using statistical methods. In contrast, a Quality Control Intern primarily inspects products and ensures quality standards are met. Both roles are essential in manufacturing industries but differ in their focus—SPC emphasizes data analysis and process improvement, while QC emphasizes product inspection and compliance.

What are the most commonly searched types of Statistical Process Control jobs in New York? The most popular types of Statistical Process Control jobs in New York are:
What job categories do people searching Internship Statistical Process Control jobs in New York look for? The top searched job categories for Internship Statistical Process Control jobs in New York are:

Remote | Process Improvement Engineering Consultant -- $80-$110/hour

24-MAG

New York, NY • Remote

$80 - $110/hr

Part-time, Contractor

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


Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in process engineering, manufacturing workflows, quality analysis, Lean/Six Sigma methods, root cause investigation, and structured engineering documentation processes.

This role supports current and upcoming remote consulting opportunities focused on structured process review, workflow analysis, quality improvement documentation, FMEA review, statistical output assessment, and high-quality project execution. Selected professionals will apply their engineering expertise to review realistic process improvement scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based engineering workflow tasks.

Key Responsibilities

Professionals in this role may contribute to:

Process Documentation & Workflow Review

  • Review engineering scenarios involving process flow diagrams, SOPs, control points, required steps, and workflow documentation
  • Evaluate process documentation against defined requirements, sequence logic, control expectations, and source materials
  • Support structured review of SOPs, workflow maps, process standards, and documentation checklists
  • Identify missing steps, unclear controls, documentation gaps, and expected process review outcomes

Quality, Yield & Root Cause Analysis

  • Review scenarios involving yield analysis, defect rates, quality metrics, failure patterns, and structured investigation materials
  • Evaluate quality and yield outputs against documented data, expected calculations, and defined criteria
  • Support root cause review using methods such as 5 Whys, fishbone diagrams, 8D, or related investigation frameworks
  • Prepare clear written explanations for process and quality decisions based on source materials and verifiable criteria

FMEA, Lean/Six Sigma & Improvement Support

  • Review FMEA materials, failure-mode checklists, project charters, kaizen reports, and improvement documentation
  • Evaluate Six Sigma writeups, SPC outputs, statistical results, and process improvement artifacts against defined requirements
  • Support structured review of control plans, risk rankings, mitigation steps, and improvement recommendations
  • Maintain accuracy, consistency, and professional judgment across submitted work

Ideal Profile

Strong candidates may have:

  • 3+ years of experience in process engineering, manufacturing engineering, industrial engineering, quality improvement, continuous improvement, or related technical roles
  • Experience with one or more areas such as Lean, Six Sigma, SPC, FMEA, root cause analysis, workflow documentation, yield analysis, defect analysis, or process improvement
  • Familiarity with methods such as 5 Whys, fishbone diagrams, 8D, DMAIC, control plans, kaizen, process mapping, or statistical process control
  • Comfort reading and preparing engineering artifacts such as process flows, SOPs, FMEAs, project charters, kaizen reports, control plans, and quality analysis documents
  • Strong written communication skills and ability to explain engineering reasoning clearly
  • Ability to follow structured instructions and produce evidence-based work

Educational Background

  • Bachelor's or master's degree in industrial engineering, manufacturing engineering, mechanical engineering, systems engineering, quality engineering, or a related technical field is helpful
  • Equivalent practical experience in process improvement, manufacturing workflows, quality analysis, root cause investigation, or technical documentation review is also highly relevant

Nice to Have

  • Lean Six Sigma Green Belt, Black Belt, ASQ certification, quality engineering credential, or equivalent process improvement background
  • Experience with SPC, FMEA, control plans, DMAIC, kaizen events, process audits, or quality improvement projects
  • Experience preparing or reviewing SOPs, process flow diagrams, FMEAs, project charters, kaizen reports, defect analyses, or yield reports
  • Familiarity with regulated manufacturing, supplier quality, production transfer, manufacturing documentation, or quality systems
  • Strong attention to detail in technical documentation-heavy engineering environments

Why This Opportunity

  • Apply process improvement and engineering expertise to structured remote project work
  • Contribute to high-quality workflow review, quality analysis, FMEA assessment, and improvement documentation
  • Work on flexible, project-based assignments aligned with your professional background
  • Use your engineering judgment in a focused, detail-oriented consulting environment
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Part-time commitment depending on project availability
  • Competitive rates between $80–$110 per hour depending on expertise
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy