Spare Parts Data Analytics Expert

Your opportunity

Join the Spare Parts organization in a high-impact, cross-functional role where you’ll shape the data strategy that drives product availability, operational efficiency, and commercial growth. This is more than a reporting role—it's your chance to lead the transformation toward a data-driven culture, delivering insights and tools that empower smarter decisions across the business.

Your Mission

• Develop and enhance Power BI dashboards to provide clear visibility into Sales, Pricing, Inventory, and Supply Chain performance.
• Produce and maintain analytical reports tracking key Supply Chain metrics (forecast accuracy, stock levels, service rates, lead times, logistics KPIs).
• Troubleshoot and resolve issues related to dashboards, reports, and data pipelines.
• Ensure data accuracy, consistency, and governance across multiple systems and functions.
• Deliver insights to support inventory optimization, demand/supply balancing, and scenario planning for spare parts.
• Lead BI and analytics initiatives, ensuring scalable and sustainable solutions for the Spare Parts business.
• Promote self-service BI and support teams in independently accessing and interpreting data.
• Collaborate with IT to automate workflows and implement AI-enabled analytics.
• Support the rollout of digital tools improving Supply Chain planning and decision-making.
• Prepare training materials and documentation to enhance data literacy across the organization.
• Work closely with global Sales, Supply Chain, Pricing, and IT teams to align KPIs, tools, and reporting standards.

Your Profile

• University degree in Enginerring, Systems, Logistics or a field related to Business Analytics
• 3-5 years of experience in Power BI development, business intelligence, or data analysis
• Strong ETL & data integration skills (experience with SQL, APIs, and data pipelines is a plus).
• Experience working with ERP (SAP), CRM, or other business systems.
• Hands-on problem solver, with a strong focus on automation & efficiency.
• Collaborative & proactive, comfortable working in a global team across different time zones.
• Passionate about data, digital transformation, and continuous learning.
• Customer-obsessed and innovation-driven.
• Collaborative, adaptable, and proactive.
• Comfortable navigating ambiguity in a fast-evolving digital space.
• Advanced English (spoken and written) for effective collaboration with global teams.