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Executive - Quality Assurance (QA)

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Onsite

Executive - Quality Assurance (QA)

Sime Kansai Paints Sdn Bhd

Executive - Quality Assurance (QA)

Skills

Testing & QARData AnalysisAIProcess Improvement

2 months ago

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Important information


Contract type:

Permanent

Salary:

MYR 33,600 – MYR 38,400 / year

Location:

Klang, Selangor, Malaysia

Work mode:

Onsite

Published on:

10 August 2026

What they need


Key Responsibilities

1. Batch Approval and Quality Control

  • Review and approve production batches based on specifications, test results and quality standards.
  • Monitor product quality to ensure consistency between batches.
  • Investigate quality issues, abnormal results or repeated production problems.

2. Customer Complaint Handling

  • Handle customer complaints professionally and quickly.
  • Understand customer needs, product applications and performance concerns.
  • Work with related departments to identify the root cause of complaints.
  • Prepare investigation reports, corrective actions and preventive actions.

3. Continuous Improvement

  • Identify ways to improve QA operations, testing methods, reports, documentation and workflows.
  • Work with Production, R&D, Sales, Technical Service, Warehouse and Purchasing to solve quality issues.

4. AI and Digitalization

  • Support the company’s move toward AI, automation and digitalization.
  • Help digitalize QA records, quality data, complaint tracking, batch approval and reporting.
  • Use data analysis tools to monitor quality trends and improve QA processes.

5. Teamwork and Leadership

  • Work independently with minimal supervision.
  • Guide and support QA/QC team members in daily tasks.
  • Coordinate with other departments to achieve quality objectives.

Required Competencies

  • Basic science knowledge preferably in Chemistry, Applied Science, Polymer Science, Material Science, Chemical Engineering or related fields.
  • Good analytical and problem-solving skills.
  • Proactive, independent and able to work with different departments.
  • Able to understand technical data, lab test results, production conditions and customer requirements.
  • Able to make sound quality decisions and recommend product or process improvements.
  • Able to lead root cause investigations and drive preventive actions.
  • Basic knowledge or strong interest in digitalization, AI tools, data analysis and process improvement is an advantage.

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