Senior Inventory Data Analyst

Role Summary: As the Inventory Data Analyst at VinFast, you will build robust, automated inventory -relevant data pipelines and dashboards. You also provide the analytical horsepower needed to simulate the impacts of frequent Production Plan and BOM changes, enabling the Inventory Optimization team to proactively manage overseas supplier risks and complex MRP parameters. Key Responsibilities: 1. Dashboard Architecture & Data Visualization Designing and deploying a unified, high-adoption "Inventory Control Tower" dashboard. 2. Simulation & Predictive Modeling Build quantitative models to simulate the impact of high-frequency production schedule shifts, Engineering Change Notices (ECNs) and Supply Chain Parameters on current inventory levels. Utilize advanced analytics to project safety stock requirements against long frozen horizons and overseas transit times. 3. Root Cause & Volatility Analysis Partner with the optimization team to replace reactive mechanism with deep-dive, data-backed root cause analyses. Analyze supplier delivery performance and lead-time deviations to feed accurate data back into MRP parameter configurations. 4. Data Pipeline & Automation Extract, clean, and structure large datasets from the ERP system (e.g., SAP) and multiple supply chain nodes. Automate weekly and monthly inventory performance reporting to support departmental OGSM tracking.

Requirements Qualifications &

Requirements: Experience: 3+ years in Data Analytics, Business Intelligence, or Data Science, with a strong preference for candidates who have applied these skills within supply chain, logistics, FMCG, or automotive manufacturing.

Technical Skills: Programming & Scripting: Strong proficiency in Python for data analysis and simulation. Experience prototyping in collaborative environments and using libraries such as Pandas or OR-Tools for complex routing and optimization problems is highly desirable. Database & BI: Advanced SQL skills for complex data extraction. Deep expertise in BI platforms (Power BI preferred) to build intuitive, user-centric dashboards. ERP Systems: Experience querying and structuring data from major ERP systems (SAP MM/PP experience is a strong plus). Domain Knowledge: A solid understanding of manufacturing data structures, including Bill of Materials (BOM), MRP parameters.

Soft Skills: Detail-oriented with the ability to translate complex data into actionable, easy-to-understand insights for non-technical stakeholders