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.