Workload: 100%
Join us in Madrid as a Procurement Data Analyst and help turn procurement data into clear insights and reliable reporting. You'll work with SAP Ariba, Sievo Spend Analytics, and AI procurement tools to support smarter decisions. We welcome your unique perspective.
What you will do:
- Collect, clean, validate, and analyse procurement data from multiple sources
- Create recurring and ad hoc reports, dashboards, and analyses for procurement stakeholders
- Support savings reporting methodology, tracking, and validation of reported figures
- Ensure data quality, reconcile figures, and help resolve issues in reporting outputs
- Work with stakeholders to understand business needs and translate them into analytical outputs
- Support testing and user adoption activities for reporting and analytics solutions

What you bring & who you are:
- A bachelor's degree or equivalent practical experience in a relevant field
- 2+ years of experience in data analysis, reporting, or business analytics
- Strong SQL skills and hands-on experience with data analysis tools




- Strong analytical thinking, clear communication, and confidence working with stakeholders
- Experience with Excel and ideally Power BI or a similar visualisation tool
- Ideally, experience in procurement, supply chain, or finance, plus knowledge of Databricks or data modelling
- Proficient in English, German is a plus

Even if you don't meet every point, we look forward to your application.
About the team: Our Procurement Analytics team turns data into decisions that matter. We collaborate closely, share knowledge openly, and value every perspective. Backgrounds and experiences differ — curiosity and collaboration unite us.
Benefits:
At our company, we strive to create a culture of continuous learning, personal growth, and inter- national community involvement. We're passionate about providing our employees with the tools and resources they need to succeed, and we're confident that you'll love being part of

📌 Procurement Data Analyst (Madrid)
🏢 Axpo Group
📍 Madrid