About this role
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com (https://www.lenovo.com), and read about the latest news via our StoryHub (https://news.lenovo.com/).
Key Responsibilities
- Collect and analyze manufacturing quality data across systems and global sites.
- Develop and maintain dashboards, reports, and basic data analysis tools.
- Monitor quality KPIs, defect rates, failure trends, and manufacturing performance.
- Use statistical analysis and data visualization to identify trends and quality issues.
- Support root cause analysis and corrective actions with Engineering, Manufacturing, and Quality teams.
- Assist with quality process improvements and reporting standardization across sites.
- Support continuous improvement initiatives for product quality and manufacturing efficiency.
- Assist with customer quality investigations, reporting, and communication.
Qualifications
- Bachelor’s or Master’s degree in Engineering, Data Science, Statistics, or a related field.
- Fresh graduates are welcome to apply.
- Basic knowledge of data analysis, statistics, and problem-solving.
- Proficiency in Excel; experience with Power BI, Python, SQL, Minitab, or Tableau is a plus.
- Strong communication skills and ability to work with cross-functional and global teams.
- Good written and spoken English.
- Interest in manufacturing, quality engineering, and data analytics.