Remote Automotive Quality Assurance Analyst (Data-Driven)

Placements24; Benoni; Hybrid; ZAR 420,000 - 620,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Flexible remote hours

Paid time off

Professional development opportunities

Job summary

Placements24 is seeking a meticulous and experienced Remote Automotive Quality Control Inspector to join its fully remote operations team. You will assess automotive parts and services from afar, review digital inspection data, and provide informed quality judgments based on ISO/IATF standards.

Ideal candidates hold a engineering-related degree, 4+ years in quality control, and strong data analysis skills. This role offers flexible hours, remote collaboration, and professional development

Qualifications

• Bachelor's degree in Engineering, Quality Management, or related field.

Responsibilities

• Perform remote quality assessments by reviewing digital inspection reports, images, and data submitted by on-site quality teams.
• Verify compliance with quality standards, specifications, and regulatory requirements for automotive components and assembly processes.
• Analyze quality data to identify trends, potential defects, and areas for improvement in manufacturing or service delivery.
• Communicate findings, deviations, and corrective action recommendations clearly and concisely to relevant stakeholders.
• Maintain accurate and organized digital records of all inspections and quality assessments.
• Collaborate with remote engineering and production teams to address quality issues and implement preventative measures.

Skills

Data analysis

Communication

Remote collaboration

Education

Bachelor's degree in Engineering or Quality Management

Tools

Quality management software

Digital inspection tools

Job description

Placements24 is seeking a meticulous and experienced Remote Automotive Quality Control Inspector to join its fully remote operations team. You will assess automotive parts and services from afar, review digital inspection data, and provide informed quality judgments based on ISO/IATF standards.

Ideal candidates hold a engineering-related degree, 4+ years in quality control, and strong data analysis skills. This role offers flexible hours, remote collaboration, and professional development