Quality Engineer

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Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 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 visitwww.lenovo.com, and read about the latest news via ourStoryHub.

Proven experience as a Quality Engineer and/or Data Analyst. Strong knowledge of quality control processes, standards, and data analysis techniques. Proficiency in data analysis and using quality management software and tools such as Tableau, Power BI, or similar. Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively in a team environment. Strong communication and interpersonal skills. Internal Auditor Certification in ISO9001 will be an added advantage.

• Investigate and resolve customer complaints / field quality issues and providing detailed reports and actions.
• Collaborate with Cross Functional teams to identify and implement quality improvements.
• Develop and maintain quality control plans and procedures for Field Quality operations.
• Monitor and report on key quality metrics and performance indicators.
• Collect, process, and analyse large datasets to provide insights and support decision-making processes.
• Analyse quality data and trends to identify areas for improvement in Field Quality metrics and drive actions.
• Identify trends, patterns, and correlations in data to uncover insights and inform business strategies.
• Create reports, dashboards, and visualizations to communicate findings to stakeholders.
• Collaborate with cross-functional teams to understand the data needs and deliver actionable insights.
• Ensure data quality and integrity by performing regular data audits and validations.
• Stay up to date with the latest data analytics tools, technologies, and best practices.
• Conduct benchmarking studies to determine best practices and future trends.
• Attend organise CFT meetings and take appropriate action for Field issues.
• Ensure compliance and assist with adherence to the Quality Management System (ISO9001)
  
  

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.