Tuyển dụng Junior Supply Chain Analyst

Report to

Global Supply Chain Director

Travel Requirement

• Up to 10-30% (Domestic & International)
• Job Summary
• We are looking for a detail-oriented and analytical Junior Supply Chain Analyst to support inventory optimization, demand forecasting, and supply chain improvement initiatives. The role will work closely with global and regional teams to improve inventory performance, enhance forecast accuracy, and drive data-based decision making.
• Key Responsibilities
• 1. Working Capital & Inventory Control (Primary Focus)
• Deploy working capital control frameworks across all regions, aligned with global targets and local execution.
• Drive inventory optimization initiatives to reduce excess & obsolete (E&O) inventory, improve inventory turnover, and optimize safety stock.
• Partner with regional teams to implement inventory policies, monitor compliance, and track savings.
• Quantify and report the impact of inventory decisions on working capital (DIO, DSO, DPO) and cash flow.
• Define and enforce inventory governance rules (min/max, reorder points, slow-mover reviews).
• 2. AI & Machine Learning for Demand Forecasting
• Design, train, and deploy machine learning models (regression, time series, gradient boosting, neural networks) to improve demand forecast accuracy.
• Incorporate external signals (promotions, seasonality, macroeconomic trends, weather, market data) into forecasting models.
• Monitor model performance (MAPE, bias, forecast value added) and retrain as needed.
• Automate forecasting pipelines to reduce manual effort and improve speed of decision-making.
• Work with Python (scikit-learn, XGBoost, Prophet, TensorFlow/PyTorch), SQL, and cloud platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
• 3. Data Analysis & Traditional Forecasting
• Analyze large datasets to generate insights on demand, supply, and inventory.
• Maintain and improve statistical forecasting models (Excel, SQL, Python, BI tools).
• Track KPIs: Forecast Accuracy, Inventory Turnover, Fill Rate, OTIF, DIO.
• Investigate forecast vs. actual variances with data-backed corrective actions.
• 4. Project Participation & Value Creation
• Participate in cross-functional global value creation projects (cost reduction, process optimization, network design).
• Support the Global Director in building business cases for AI/ML and supply chain initiatives.
• Identify bottlenecks and propose data-driven, automation-first solutions.
• 5. Business Partnering & Communication
• Collaborate with regional supply chain, sales, finance, and IT/data teams.
• Translate complex ML outputs into clear, business-friendly narratives for senior leadership.
• Travel to regional offices, distribution centers, or supplier sites to support deployment.

Related industries

• Supply Chain, Logistics, Planning, Procurement, Operations, Business Analytics, Data Analytics.
• Requirements
• Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, Data Analytics, Statistics, Computer Science, or related fields.
• 0-3 years of experience in Supply Chain, Demand Planning, Inventory Management, Data Analysis, or other relevant functions.
• Strong analytical and problem-solving skills with the ability to work with large datasets.
• Proficiency in Microsoft Excel and data analysis tools.
• Knowledge of Python and SQL is preferred.
• Experience with Power BI, Tableau, or other business intelligence tools is an advantage.
• Familiarity with ERP systems such as D365, SAP, Oracle, or similar platforms is a plus.
• Good communication and collaboration skills.
• Strong written and verbal English communication. Chinese speaking is a plus.
• Self-motivated, eager to learn, and interested in applying technology and analytics to supply chain operations.
• Why Join Us?
• Opportunity to work in an international and dynamic environment.
• Exposure to global supply chain operations and advanced analytics projects.
• Career development opportunities in supply chain, data analytics, and business intelligence.
• Collaborative culture that encourages innovation and continuous improvement.