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As part of strengthening our teams, we are looking for a Supply Chain Quality & Data Engineer with a Quality-oriented profile, strong analytical skills and a good understanding of industrial and Supply Chain processes.

The candidate will be responsible for analyzing operational data, managing performance indicators and identifying areas for improvement in order to optimize the performance of Supply Chain activities and the quality of processes.

Main tasks:

• Analyze Supply Chain related data to identify trends, risks and opportunities for improvement.
• Set up and monitor performance KPIs (OTD, lead time, backlog, supplier performance, stock levels, quality, etc.).
• Conduct root cause analyses and propose corrective actions.
• D. Develop and maintain dashboards and management reports.
• Collaborating with Supply Chain, Production, Purchasing and Quality teams to support decision-making and continuous improvement projects.
• Leveraging data from ERP systems and reporting tools (Power BI, Excel, SAP, etc.). Company description

At TRIGO, we are convinced that Quality is essential to the performance and sustainability of Industry. That is why we deploy solutions that optimize industrial production on a global scale.

We are 10,000 employees in 26 countries, offering a comprehensive portfolio of services across numerous supply and manufacturing chains. From inspection and rework to consulting and engineering, we are committed to the quality of our industrial partners. We leverage our developing technological solutions, based on Industry 4.0, data analytics, and artificial intelligence.

Within a company with a start-up spirit and an international culture, you will contribute to and improve the efficiency of numerous assembly lines. Through engaging and empowering missions, you will see the impact of your efforts. Join a committed team that strives for excellence! Qualifications

• Engineering degree in Quality, Industrial Engineering, Supply Chain, Data Analytics or equivalent.
• Experience in an industrial/manufacturing environment.
• Advanced proficiency in Excel and data visualization tools (ideally Power BI).
• Good knowledge of Supply Chain indicators and continuous improvement methodologies (Lean, Six Sigma).
• Excellent analytical, problem-solving and communication skills.

Desired Candidate Profile

Qualifications

• Engineering degree in Quality, Industrial Engineering, Supply Chain, Data Analytics or equivalent.
• Experience in an industrial/manufacturing environment.
• Advanced proficiency in Excel and data visualization tools (ideally Power BI).
• Good knowledge of Supply Chain indicators and continuous improvement methodologies (Lean, Six Sigma).
• Excellent analytical, problem-solving and communication skills.