Dayco is a global leader in the research, design, manufacturing, and distribution of essential engine drive systems. With a 120-year legacy, we deliver high-performance aftermarket solutions tailored to meet the unique needs of our customers. We create value through delivering efficient products and services coupled with reliable, innovative solutions. Partnering with major automotive, industrial, and aftermarket customers, our teams focus on continuous improvement, sustainability, and customer-driven innovation.

About the role

The Data Analytics Specialist supports the Regional Supply Chain organization by delivering accurate, insightful, and actionable analytics that drive operational performance and business decision-making. The role acts as a key business partner across Planning, Procurement, Operations, Logistics, and Customer Service, ensuring visibility of performance, consistency of KPIs, and data-driven decision making throughout the Supply Chain network.

This position is responsible for transforming data into business insights, identifying trends and performance gaps, supporting SIOP processes, and driving continuous improvement initiatives across the region.

What you will do

• Develop and maintain Supply Chain performance dashboards and KPIs, ensuring data accuracy, consistency, and visibility across the organization.
• Provide analytical insights and reporting to support strategic and operational decision-making for Supply Chain leadership.
• Support SIOP processes through demand, inventory, capacity, and forecasting analysis, identifying risks and improvement opportunities.
• Partner with Operations, Procurement, Logistics, Customer Service, and Planning teams to monitor performance and drive business results.
• Develop automated reporting solutions and analytical tools to enhance efficiency, data quality, and decision-making capabilities.
• Support continuous improvement initiatives through performance measurement, root-cause analysis, and benefits tracking.

Qualifications

Education

• Bachelor’s Degree in Data Analytics, Statistics, Supply Chain Management, Industrial Engineering, Business Analytics, or a related field.
• Master’s Degree and/or professional certifications (APICS, Lean Six Sigma, Power BI, Tableau, SQL) are considered a strong advantage.

Experience

• 3-5 years of experience in Data Analytics, Business Intelligence, Supply Chain Analytics, or a related analytical role.
• Previous experience supporting Supply Chain functions such as SIOP, Operations, Procurement, Logistics, or Customer Service.
• Experience in manufacturing, industrial, or operations-driven environments is highly preferred.

Skills - Strong proficiency in:

• Qlik, Power BI, or similar BI tools
• Excel (advanced), PowerQuery, and data modeling
• SQL and/or database querying
• ERP systems (Epicor/SAP/Oracle)
• Strong understanding of supply chain KPIs, processes, and data structures.
• Ability to transform complex datasets into clear, actionable insights.

What we offer

• Competitive salary package range from €30,000 to €50,000, based on experience and qualifications.
• Flexible working hours and remote working opportunities to support a healthy work-life balance.
• Flexible benefits

Join the Dayco Team

At Dayco, we are more than a global leader in automotive solutions. We are a team of people driven by innovation, collaboration, and continuous improvement. Joining Dayco means becoming part of an organization that values its people, encourages new ideas, and provides opportunities to make a meaningful impact.

We believe our success comes from our people. We are committed to fostering a workplace where individuals are encouraged to bring their skills, ideas, and unique perspectives to help shape our future, and Move Forward, Always!

 Equal Employment Opportunity:

Dayco is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive workplace where all employees are valued and respected. We welcome applications from all qualified candidates, employment decisions are made on merit, skills, and business needs, and all qualified candidates are considered fairly, regardless of race, age, gender identity, religion, sexual orientation, cultural background, disability, or any other protected attribute.