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RMA QA Engineer

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Onsite

RMA QA Engineer

Omni Logistics (Hong Kong) Limited

RMA QA Engineer

Skills

Data MiningPythonTesting & QAData AnalysisSAP ERPCustomer SupportSupply Chain

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

10 August 2026

What they need


What You'll Be Doing

  • Analyse RMA cases, drive timely approvals/rejections, and consistently meet RMA turnaround time (TAT) targets
  • Partner with customer-facing teams to resolve RMA-related inquiries, provide technical guidance on approval decisions, and escalate complex issues as needed
  • Collaborate with cross-functional teams (Engineering, Manufacturing, Supply Chain, Customer Support) to investigate and resolve systemic RMA issues
  • Develop and deliver RMA data analysis and reporting to internal stakeholders, identifying trends, failure modes, and opportunities for quality improvement
  • Lead continuous improvement initiatives to enhance RMA processes, reduce cycle times, and improve overall customer quality experience

What We're Looking For

Required Qualifications:

  • Bachelor's degree in Electronics Engineering, Computer Engineering, or a related technical field (or equivalent practical experience)
  • 5+ years of experience in customer quality, RMA operations, or quality engineering within the electronics industry
  • Hands-on experience managing RMA processes, including datacentre systems, PCBA manufacturing, or functional testing environments
  • Strong analytical skills with proficiency in QA tools (e.g., root cause analysis, Pareto analysis, fishbone diagrams)
  • Excellent verbal and written communication skills in English and Chinese (Cantonese and/or Mandarin)
  • Ability to work effectively in a fast-paced, cross-functional, global environment

Preferred Qualifications (Nice to Have):

  • Experience in customer complaint handling, 8D problem-solving, or direct customer quality management
  • Proficiency with SAP or similar ERP systems for RMA tracking and data extraction
  • Technical debugging skills in test methodologies and failure analysis
  • Programming or scripting experience (e.g., Python, VBA) and advanced proficiency with Excel and JMP for statistical analysis

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