Supply Chain Data Analyst

You’ll be the data backbone of our supply chain – turning numbers into clear insights and actions. Your work will improve forecast accuracy, optimize inventory and boost service levels across the business.

What you’ll do

1. Data & Analytics

• Collect, consolidate and validate data on purchasing, inventory, production, shipments, lead times, service level, write‑offs and other key supply chain metrics.
• Clean and prepare data (data cleaning, harmonization) for further analysis.
• Build regular reports and dashboards in tools like Excel, Power BI, Tableau, SAP, etc.
• Track and visualize core KPIs (OTIF, service level, stock level, inventory turnover, forecast vs actual, etc.).
• Run ad‑hoc deep‑dives (e.g. root cause analysis for out‑of‑stocks, delivery delays, excessive inventory).

2. Forecasting & Planning Support

• Prepare analytical materials for S&OP / IBP meetings (summary reports, scenarios, risk and assumption overviews).
• Support inventory and production planning teams with data, insights and recommendations.

3. KPI Monitoring & Continuous Improvement

• Regularly monitor supply chain performance and highlight improvement opportunities.
• Identify bottlenecks and inefficiencies (overstock, frequent OOS, long lead times).
• Contribute to process optimization initiatives (continuous improvement, lean, automation) with solid analytics.

4. Systems & Tools

• Work with core planning and accounting systems (SAP, ERP, WMS, TMS, APS and similar).
• Configure and enhance reporting in BI tools; support testing of system changes and new report formats.
• Validate data accuracy in systems and collaborate with IT / Master Data teams to fix issues and duplicates.

5. Stakeholder Collaboration

• Partner closely with logistics, procurement, sales, marketing, production and finance.
• Prepare clear presentations and analytical packs for meetings, committees and management.
• Translate “data language” into simple, actionable messages for business stakeholders.

What we’re looking for

• Higher education in logistics, economics, mathematics, business analytics, engineering or a related field.
• Experience working with data in supply chain / logistics / planning (preferred, but strong analytical backgrounds also considered).
• Strong Excel skills (pivot tables, advanced formulas); experience with BI tools (Power BI, Tableau, etc.) is a plus.
• Basic to good knowledge of ERP systems (SAP or similar).
• Analytical mindset, high attention to detail and confidence working with large datasets.
• Strong communication skills and ability to present complex findings in a simple, structured way.
• English level sufficient for working with reports and for business communication (if applicable).