Data Analytics Specialist
Pubblicato il 28-10-2026 - Dayco in Montà
pDayco 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.
/p h3About the role /h3 pThe 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.
/p pThis 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.
/p h3What you will do /h3 ul liDevelop and maintain Supply Chain performance dashboards and KPIs, ensuring data accuracy, consistency, and visibility across the organization.
/li liProvide analytical insights and reporting to support strategic and operational decision-making for Supply Chain leadership.
/li liSupport SIOP processes through demand, inventory, capacity, and forecasting analysis, identifying risks and improvement opportunities.
/li liPartner with Operations, Procurement, Logistics, Customer Service, and Planning teams to monitor performance and drive business results.
/li liDevelop automated reporting solutions and analytical tools to enhance efficiency, data quality, and decision-making capabilities.
/li liSupport continuous improvement initiatives through performance measurement, root-cause analysis, and benefits tracking.
/li /ul h3Qualifications /h3 h3Education /h3 ul liBachelor's Degree in Data Analytics, Statistics, Supply Chain Management, Industrial Engineering, Business Analytics, or a related field.
/li liMaster's Degree and/or professional certifications (APICS, Lean Six Sigma, Power BI, Tableau, SQL) are considered a strong advantage.
/li /ul h3Experience /h3 ul li3-5 years of experience in Data Analytics, Business Intelligence, Supply Chain Analytics, or a related analytical role.
/li liPrevious experience supporting Supply Chain functions such as SIOP, Operations, Procurement, Logistics, or Customer Service.
/li liExperience in manufacturing, industrial, or operations-driven environments is highly preferred.
/li /ul h3Skills - Strong proficiency in: /h3 ul liQlik, Power BI, or similar BI tools /li liExcel (advanced), PowerQuery,
and data modeling /li liSQL and/or database querying /li liERP systems (Epicor/SAP/Oracle) /li liStrong understanding of supply chain KPIs, processes, and data structures.
/li liAbility to transform complex datasets into clear, actionable insights.
/li /ul h3What we offer /h3 ul liCompetitive salary package range from €30,000 to €50,000, based on experience and qualifications.
/li liFlexible working hours and remote working opportunities to support a healthy work-life balance.
/li /ul pJoin the Dayco Team /p pDayco is 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.
/p pWe 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!
/p pDayco 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.
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