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Quality Assurance Engineer

Job in Yishun, Singapore
Listing for: Consortium for Clinical Research and Innovation Singapore
Full Time position
Listed on 2026-03-01
Job specializations:
  • Engineering
    Quality Engineering
Salary/Wage Range or Industry Benchmark: 60000 - 80000 SGD Yearly SGD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Quality Assurance Engineer )

Department: MLCC Manufacturing Department

Reports to: Senior Engineer

Functional Relationships with: Process Engineering, Machine Engineering, Production Control members, Quality Control Team, Industrial Engineering members, Production & etc.

Position Profile:
Based in: Yishun

Successful candidate will: Provide statistical information about MLCC customer complaints for quality improvement by identifying testing methods and samples and provide necessary support to various departments.

Key

Duties & Responsibilities
  • Manage internal complaints from internal stakeholders.
  • Handle external customer complaints with efficiency and professionalism.
  • Analyze complaints and compile statistical data, including sample size determination and acceptable error margins.
  • Monitor and review quarterly complaint data to identify trends and improvement opportunities.
  • Prepare comprehensive reports by collecting, analyzing, and summarizing data, with actionable recommendations to reduce complaints.
  • Provide technical support and guidance to customers.
  • Managing and processing defective material returns.
Ability / Competency Required
  • Bachelor’s Degree in Engineering or a related field.
  • At least 3 years relevant experience is preferred.
  • Strong interpersonal and communication skills, with the ability to collaborate effectively across teams.
  • Proven ability to manage multiple tasks and priorities in a dynamic environment.
  • Knowledge of IATF 16949 standards is highly desirable.
  • A proactive and positive attitude, especially when facing challenges in a fast-paced manufacturing environment.
  • Proficient in statistical analysis and data interpretation.
  • Strong attention to detail and accuracy.
  • Experienced in 8D problem-solving methodology.
  • Skilled in Failure Mode and Effects Analysis (FMEA).
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