O
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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