SPC Technician

Aranda Tooling, LLC

Chino (CA)

On-site

USD 60,000 - 90,000

Full time

6 days ago

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Benefits offered by this job

401(k)

401(k) matching

Employee assistance program

Health insurance

Life insurance

Paid time off

Parental leave

Vision insurance

Job summary

Aranda Tooling, LLC is seeking an SPC Technician to monitor, analyze, and improve manufacturing processes using statistical methods and quality tools. The role supports data-driven problem-solving and ensures product quality and process stability through control plans, charts, and continuous improvement initiatives.

The ideal candidate will be detail-oriented with experience in manufacturing quality systems, statistical analysis, and data-driven decision making.

Qualifications

Associate degree in Quality, Engineering Technology, Manufacturing, Statistics, or related field preferred.
Minimum 2 years in a manufacturing, quality, or SPC-related environment preferred.
Familiarity with IATF 16949, ISO 9001, or similar quality management systems preferred.

Responsibilities

Collect process and quality data from production equipment, inspection systems, and testing devices.
Analyze production data using SPC methodologies and statistical tools such as control charts, histograms, Cp/Cpk, Pareto, and trend analysis.
Develop, maintain, and monitor SPC control charts for critical process characteristics; ensure real-time monitoring and reporting.

Skills

SPC principles

Cp/Cpk analysis

Root Cause Analysis

CAPA

MS Excel

Gage R&R

statistical software

data interpretation

communication

Education

Associate degree in Quality or Engineering Technology

Tools

MS Excel

Gage R&R

Statistical software

Job description

The SPC (Statistical Process Control) Technician is responsible for monitoring, analyzing, and improving manufacturing processes through the use of statistical methods and quality tools. This role helps ensure product quality, process stability, and compliance with customer, regulatory, and company requirements by collecting and analyzing process data, maintaining control plans and charts, and supporting continuous improvement initiatives.

The ideal candidate is detail-oriented, analytical, and experienced in manufacturing quality systems, statistical analysis, and data-driven problem-solving.

Essential Duties and Responsibilities

Data Collection & Analysis

Collect process and quality data from production equipment, inspection systems, and testing devices.
Analyze production data using SPC methodologies and statistical tools, including:
Control Charts
Histograms
Process Capability Studies (Cp/Cpk)
Pareto Analysis
Trend Analysis
Identify process variation, trends, and out-of-control conditions.
Interpret data and communicate findings to production and quality teams.

SPC Monitoring

Develop, maintain, and monitor SPC control charts for critical process characteristics.
Ensure real-time monitoring and reporting of process performance.
Investigate abnormal trends and initiate escalation when required.
Verify compliance with established control plans and quality standards.

Process Improvement

Support Root Cause Analysis (RCA) activities related to quality concerns, nonconformances, and process deviations.
Partner with Engineering, Production, and Quality teams to implement Corrective and Preventive Actions (CAPA).
Participate in continuous improvement initiatives focused on reducing variation, scrap, and defects.
Assist with validation and verification of process improvements.

Documentation & Reporting

Maintain SPC records, databases, and quality documentation.
Prepare daily, weekly, and monthly quality and process performance reports.
Ensure accurate recordkeeping in accordance with company procedures and customer requirements.
Support document control activities related to SPC programs and quality systems.

Systems & Measurement Support

Monitor SPC software systems to ensure proper functionality and data integrity.
Assist with calibration verification and maintenance of measurement equipment.
Support Measurement System Analysis (MSA) activities, including Gage R&R studies.
Verify accuracy and reliability of data collection processes.

Cross-Functional Collaboration

Work closely with Production Supervisors, Quality Engineers, Manufacturing Engineers, and Operators.
Provide SPC training and guidance to production personnel.
Promote awareness of quality standards and statistical process control principles across the organization.

Qualifications

Education

Associate degree in Quality, Engineering Technology, Manufacturing, Statistics, or a related field preferred.
Equivalent combination of education and experience may be considered.

Experience

Minimum 2 years of experience in a manufacturing, quality, or SPC-related environment preferred.
Experience in automotive, metal stamping, machining, or industrial manufacturing is a plus.
Familiarity with IATF 16949, ISO 9001, or similar quality management systems preferred.

Skills & Knowledge

Strong understanding of Statistical Process Control (SPC) principles.
Knowledge of process capability analysis (Cp, Cpk, Pp, Ppk).
Experience with Root Cause Analysis and CAPA processes ( preferred)
Proficiency with Microsoft Excel and statistical software.
Ability to interpret technical drawings, specifications, and quality standards.
Strong analytical, organizational, and problem-solving skills.
Excellent verbal and written communication abilities.

Physical Requirements

Ability to work in a manufacturing environment with exposure to noise, machinery, and varying temperatures.
Ability to stand and walk for extended periods.
Ability to occasionally lift up to 25 pounds.
Visual acuity sufficient to inspect parts, review data, and operate measurement equipment.

Why Join Us?

Competitive pay and benefits
Growth and development opportunities
Collaborative team environment
Opportunity to contribute to continuous improvement and operational excellence

We are an Equal Opportunity Employer and are committed to providing a workplace free from discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications.