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