SPC Coordinator/Statistician

• Driving yield improvement, process stability, risk reduction, and customer confidence through data integrity and robust analytics.
  
  
• To develop and improve semiconductor in product quality assurance activities via Statistical technique to meet the organization goal and customer quality requirements.
  
  
• To host Statistical Process Control(SPC) review meeting and drive Continuous Improvement Program across operation

• To maintain and Support Quality Management System and Quality Planning for operation effectiveness.
  
  

• Coordinator for plant wide SPC activities

• Setup new SPC control /chart/rule in the shopfloor and monitoring
• Quarterly Control Limit review
• Conduct capability studies (CPK, PPK, GR&R) to evaluate process robustness.
  
  
• Weekly CPK performance review
• Establish SBL/SYL control
• Setup error proofing control
• Setup SPC Realtime monitoring Dashboard
• Use statistical modeling to predict potential reliability risks
• Design of Experiments (DOE) & Predictive Modeling
• Provide statistical justification during customer and certification audits
• Develop sampling plans (MIL-STD, ISO 2859, C=0, etc.) for incoming, in-process, and outgoing inspections.
  
  
• Partner with CQE, QA, Operations, and R&D teams to define data-driven decision-making processes.
  
  
• Provide training to engineers and operators on statistical tools (JMP, Camline SPC).
  
  
• Ensure departmental KPI was achieve.
  
  
• Involved in or initiate process improvements, projects, task forces, CIP meetings etc.
  
  
• To develop and maintain operational specifications.
  
  
• Support New project engagement during product qualification and deployment
• Develop and maintain QA databases, workflow and controls
• To perform internal Audits and ensure operations compliance.
  
  

Required Experience and Qualifications:

• Bachelor's or Master's degree in Statistics, Applied Mathematics, Data Science, Industrial Engineering, Quality Engineering, or related field
• Preferably 5 years' semiconductor working experience in Quality Control Assurance field or related experience, related to Semiconductor Manufacturing or wafer industries
• Strong knowledge of statistical methods: SPC, DOE, hypothesis testing, regression, ANOVA, capability analysis, sampling plans.
  
  
• Understanding of 5 Core Tool (APQP,PPAP,FMEA,SPC,MSA) will be an added advantage
• Certified Six Sigma Green Belt / Black Belt
• Good interpersonal, communication and presentation skill