Lead Quality Data Analyst
Eaton Corporation · Shenzhen, Guangdong Province, China
Appliances, Electrical, and Electronics Manufacturing · 10,001+ employees
About the role
The Lead Quality Data Analyst drives division-level quality performance through advanced analytics, performance management, and continuous improvement initiatives. This role develops quality performance systems, identifies systemic risks, and provides executive-level reporting to support strategic decision-making.
What they look for
Requirements
Candidates must hold a bachelor's degree in Engineering, Statistics, Data Science, or a related field, with a master's degree preferred. A minimum of 8-10 years of experience in Quality Management or Data Analytics is required, along with at least 3 years of experience leading cross-functional initiatives.
Full description
Eaton is an intelligent power management company dedicated to protecting the environment and improving the quality of life for people everywhere. We make products for the data center, utility, industrial, commercial, machine building, residential, aerospace and mobility markets.
What you’ll do:
The Lead Quality Data Analyst is responsible for driving division-level quality performance excellence through advanced data analytics, performance management, and continuous improvement initiatives. This role serves as the focal point for quality intelligence, transforming data into actionable insights that enable proactive decision-making, accelerate quality improvements, and strengthen organizational quality maturity.
"1. Support and lead division-wide quality improvement programs. 2. Lead initiatives to assess and improve QMS maturity across the division. 3. Collaborate with factories and cross functional teams to identify priority improvement opportunities based on performance data. 4. Develop, deploy, and maintain a comprehensive division-level quality performance management systemm, monitoring key KPIs. 5. Drive regular quality performance reviews with leadership teams and provide executive-level dashboards and reports to support strategic decision-making. 6. Identify emerging quality risks through trend analysis and predictive insights. 7. Lead advanced analytics initiatives to uncover systemic quality issues and improvement opportunities. 8. Drive digitalization of quality data management and reporting processes. 9. Facilitate structured problem-solving activities, measure and validate effectiveness of improvement actions.
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Qualifications:
"Bachelor's degree in Engineering, Quality Management, Statistics, Data Science, Industrial Engineering, or related discipline. Master's degree preferred." "Minimum 8-10 years of experience in Quality Management, Manufacturing Excellence, Data Analytics, or Continuous Improvement. Minimum 3 years of experience leading cross-functional quality improvement initiatives. "
Experience in electronics, industrial, automotive, power management, or related manufacturing industries preferred. Experience working with global organizations and multiple manufacturing sites is highly desirable.
"ISO 9001 IATF 16949 (preferred) Analytic skills and digital tools" "Strategic Thinking Data-Driven Decision Making Influencing Without Authority Continuous Improvement Mindset"
At Eaton, we don’t just want to offer you a job, but a journey and experience. Our goal is to give you the space to find that sweet spot where your passion meets purpose.
