返回件分析工程师 Return Part Analysis （太仓）

Your Key Responsibilities

• Conduct Returned Parts Analysis (RPA) to identify failure root cause for returns part while meeting customer deadlines
• Liaise with experts from Metallurgy, Metrology and Tribology for advanced RPA investigations
• Work closely with Application Engineering, Product Development and Advanced Engineering teams on RPA related topics
• Write RPA reports and document in SAP
• Maintain Lessons Learned database for RPA findings
• Plan, Estimate and Schedule all assigned RPA requests and maintain the Electronic database
• Assess and Interpret data from Plant to create overall understanding of bearing failure trends and statistical overview
• Analyze warranty returned parts and supporting data from customers
• Develop new RPA techniques to enhance overall efficiency, customer satisfaction and development RPA capabilities
• Support benchmarking efforts through analysis of customer/competitor hybrid Systems
• Perform technical assessment of customer return parts during development stage & subsequent failure analysis. Provide recommendations for further development.
• Perform benchmarking activity of competitors product on technical basis & provide recommendation for improvement. 
• Perform functional & dimensional measurement, quality parameter assessment, as well dismantling as per RPA & BM procedure.
• Coordination with other Lab (Physical & Chemical lab, testing Dept. External Lab). Perform root-cause analysis & technical report writing.
• Should be Liaison with Product Development & Application Engineers to support for new product development or improvement in existing designs.

Your Qualifications

• Bachelor's degree in engineering or equivalent knowledge
• Basic knowledge of automotive Powertrain and Chassis Applications, PEU RPA experience will be the preferred
• Good eye-hand coordination and hands-on ability
• Basic Knowledge of Materials, Metrology and Tribology to analyze bearing failures
• Advanced computer skills and knowledge of MS Office products
• Knowledge of measurement and digital data acquisition tools and techniques
• Ability to read technical drawings and interpret GD&T requirements
• Good planning and organization skills
• Good written and verbal communication skills
• Working knowledge of statistical analysis
• Ability to travel (10%)