
Senior Quality Engineer (Data Analyst)
- Bayan Lepas, Pulau Pinang
- Tetap
- Sepenuh masa
- Develop and implement robust quality strategies using data analytics tools and methodologies.
- Analyze manufacturing and field performance data to identify trends, patterns, and opportunities for quality improvement. Extracting, transforming, and analyzing large sets of data
- Develop and track important quality metrics, dashboards, and key indicators to assist in ongoing improvement efforts. Developing scalable data / reporting / analytics solutions
- Drive root cause analysis and corrective action processes using Six Sigma, DMAIC, or similar frameworks.
- Building effective collaborations with team members and collaborators
- Work with multi-functional teams (Engineering, Manufacturing, Supply Chain, Customer Support) to resolve quality issues and aid new product development.
- Maintain consistent communication with collaborators and clients through structured communication plans to ensure clarity on status, next steps, and resolution of issues.
- Lead statistical analysis and modeling for process capability, reliability, and yield improvement.
- Support audit processes by providing data-driven evidence and corrective action validation.
- Provide mentorship to junior quality engineers and data analysts on standard processes in data quality, visualization, and statistical methods
- Bachelor's or Master's degree in Electrical Engineering, Material Science, Chemical Engineering, Physics, Chemistry, Data Science, Statistics, or a related field.
- 5+ years of experience in Quality Engineering, with a strong emphasis on data analytics.
- Proficient in SQL, Python, R, or other data analysis tools.
- Experience with data visualization platforms (e.g., Power BI, Tableau, , etc).
- Solid knowledge of quality standards and tools (e.g., ISO 9001, Six Sigma, FMEA, SPC, DOE).
- Proven ability to analyze large datasets and translate findings into actionable quality improvements.
- Strong communication and collaboration skills with technical and non-technical collaborators.
- Strong analytical and problem-solving skills
- Knowledge of Snowflake warehousing Platform is a plus.
- Excellent communication skills
- Ability to lead and drive issue management
- Six Sigma Black Belt or equivalent certification.
- Experience in regulated industries (e.g., Semiconductor, electronics, medical devices, aerospace, automotive).
- Familiarity with machine learning techniques for predictive quality analytics.
- Experience with ERP and MES systems (e.g., SAP, Oracle, FactoryTalk).
- Has a passion for working in a dynamic environment, be comfortable with ambiguity, and be solution oriented
- Have a proven track record of problem solving, analytical competence, and innovation in addressing business opportunities and challenges.
- Engage in proactive, complete, and ad hoc analytics in support of Sr. Leadership, key business forums, and company objectives.
- Interact with business leaders to identify and define key issues, gather requirements, design and develop insight solutions, communicate findings and make recommendations.
- Be a leader with a point of view. Proactively propose creative ideas to apply analytics to business problems.
- Drive innovations and efficiency by implementing scalable analytics solutions
- Apply brand new and traditional business intelligence tools to develop scalable insight solutions
- Perform data engineering type of tasks including acquisition, transformation, and enhancements from multiple sources, profile data, and create scalable, reusable data sets in support of analytical and reporting needs