Role & responsibilities Inspect and test: Conduct regular inspections and tests on raw materials, in-process components, and finished products to identify defects early. Monitor performance: Use statistical process control (SPC) and data analysis to monitor and analyze quality performance throughout the production cycle. Interpret data: Analyze quality data to identify trends, pinpoint areas for improvement, and create detailed reports for management. Problem solving and improvement Conduct root cause analysis: Investigate product or production issues to determine the root cause using tools like Failure Mode and Effects Analysis (FMEA) and the 5 Whys technique. Develop corrective and preventive actions (CAPA): Recommend and implement solutions to prevent the recurrence of identified issues. Drive continuous improvement: Lead and contribute to process improvement efforts, often utilizing methodologies like Six Sigma and Lean manufacturing to reduce waste and boost efficiency. Cross-functional collaboration Work with design and production: Collaborate with cross-functional teams, including design, manufacturing, and R&D, to embed quality benchmarks into the product development process from the very beginning. Manage suppliers: Engage with suppliers to verify that raw materials and components meet the company's quality standards. Preferred candidate profile Formal education: A bachelor's/Diploma degree in a relevant engineering discipline (e.g., Mechanical, Industrial, and Electrical) is typically required. Analytical skills: The ability to analyse data, interpret trends, and solve complex problems systematically is essential. Technical expertise: Strong knowledge of quality assurance methodologies, quality tools (SPC, FMEA), and industry-specific processes is necessary. Communication skills: Excellent verbal and written communication skills are vital for collaborating with teams, presenting reports, and interacting with stakeholders. Attention to detail: A meticulous and detail-oriented approach is critical for ensuring compliance and identifying flaws. Computer proficiency: Familiarity with relevant software, including quality management systems (QMS), statistical analysis software, and database management.