Inventory Data Analyst

We are a world leading Engine MRO service provider, headquartered in Zurich, Switzerland, with over 90 years of operational experience. Our unwavering dedication to innovation, excellence and environmental responsibility propels us forward on our journey to becoming the leading, most customer‑centric, and sustainable Engine focused MRO worldwide.

Working with an extensive network of partners and business development offices in Europe, the USA, and the Middle East, we offer comprehensive, fully customized solutions for the Maintenance, Repair and Overhaul of aircraft engines, airframes and components sales business including impeccable technical support to over 500 customers worldwide. Our mission:
We safely power your flight.

As a Inventory Data Analyst you will build and operationalize advanced analytics solutions - forecasting, optimization, simulations, and deliver robust data pipelines and dashboards that reduce stockouts, lower working capital, and improve service levels across the whole inventory portfolio. You will turn fragmented, imperfect ERP and supplier data into predictive insights and prescriptive decision tools for operational buyers and material planners, while owning KPI reporting, and ad‑hoc analyses that accelerate category strategies and day to day procurement decisions.

• Data Quality
  • Clean, reconcile, and validate data across ERP (e.g., SAP, SAS, MES, …), internal databases, and supplier portals
  • Monitor master data quality - descriptions, criticality, lead times, alternates/supersessions - report discrepancies and adjustment need to Material Master Data
• Inventory Optimization & Prescriptive Analytics
  • Inventory classification: implement and maintain regular ABC/XYZ analysis on whole inventory
  • Analyse results using statistical techniques to find root causes for problems identified
• Reporting, Dashboards & Operational Insights
  • Design and maintain dashboards for inventory KPIs (Power BI or equivalent): stockouts, turns, service level, aging/slow‑moving, excess/obsolete, lead‑time adherence, emergency orders, etc.
• Change Management & Training
  • Translate model outputs into clear actions for buyers/planners

• Bachelor’s in Data Analytics, Information Systems, Supply Chain, Industrial Engineering, or related. Master’s in Data Science preferred
• Experience:
  
  5+ years in analytics/data science within supply chain/procurement/industrial operations
• Strong proficiency in statistical analysis, predictive modelling, data mining and visualization knowledge; optimization, inventory fundamentals (ABC/XYZ classification, safety stock concepts, lead‑time variability)
• Advanced Excel, SQL, SAP, ideally Power BI skills; ability to integrate models with planning tools
• Track record in handling large datasets and delivering actionable insights
• English B2 level as a minimum – proficiency expected

We offer an attractive position in a global and dynamic company. Through competitive employment conditions, you will have the opportunity to develop both professionally and personally.