Job SummaryThe Supply Chain Data & Project Excellence position is responsible for analyzing data and supporting end-to-end supply chain management, including Demand Forecasting, Merchandise & Inventory Management, Sales and Product Performance Analysis, Dashboard Development, and Data Analytics.

The role also focuses on applying Artificial Intelligence (AI), Machine Learning, Automation, and Advanced Analytics to improve operational efficiency, optimize inventory, reduce costs, and support effective business decision-making.

This position works closely with cross-functional teams, including Distribution Center (DC), Operations, Logistics, Merchandise, Sales, Finance, IT, Data, and other relevant departments, and actively participates in process improvement, system enhancement, and digital transformation projects.

Key Responsibilities1. Supply Chain Management

• Analyze and monitor end-to-end supply chain performance, covering product planning, purchasing, warehousing, inventory management, and distribution.

• Monitor and optimize inventory levels according to sales performance and demand across different sales channels.

• Analyze key inventory indicators, including Stock Cover, Inventory Turnover, Days of Inventory, and Inventory Productivity.

• Identify and recommend solutions to minimize Overstock, Understock, Out-of-Stock, Slow-moving Inventory, and Inventory Provision.

• Support replenishment planning and inventory allocation across branches, warehouses, and sales channels.

• Analyze supply chain costs and identify opportunities to improve operational efficiency and cost effectiveness.

• Monitor and analyze Distribution Center efficiency, operational SLA (Service Level Agreement), and logistics performance.

• Demand Forecasting & Planning
• Develop and maintain demand forecasts using historical sales data, seasonality, promotions, product lifecycle, and relevant business factors.

• Analyze Forecast Accuracy and Forecast Bias and recommend actions to improve forecasting performance.

• Prepare demand plans by Category, Brand, SKU, and Sales Channel.

• Analyze variances between Forecast and Actual Sales.

• Support Sales & Operations Planning (S&OP) and Supply Planning activities.

• Merchandise & Product Analytics
• Analyze product performance at the Brand, Category, Product, and SKU levels.

• Identify and analyze best-selling products, slow-moving products, aging stock, and non-moving inventory.

• Analyze Product Mix, Sales Mix, Gross Margin, and Inventory Productivity.

• Support the Merchandise team in Assortment Planning, Product Allocation, and Product Lifecycle Management.

• Evaluate the performance of new products and promotional products.

• Provide data-driven recommendations for adding, reducing, or adjusting product assortments.

• Data Analytics & Business Insights
• Collect, manage, consolidate, and analyze data from multiple sources, including Sales, Inventory, Purchasing, Warehouse, and Merchandise.

• Perform in-depth data analysis to identify trends, patterns, anomalies, risks, and business opportunities.

• Conduct ad-hoc analyses to support management and relevant business functions.

• Develop analytical models to support Supply Chain and Merchandise decision-making.

• Translate complex datasets into clear and actionable business insights and recommendations.

• Present analytical findings in a clear and business-oriented format.

• Dashboard & Business Intelligence
• Develop and maintain dashboards to monitor Supply Chain and Merchandise performance.

• Design KPIs and management dashboards covering Sales & Demand Trends, Forecast Accuracy, Inventory Levels, Stock Cover, Inventory Turnover, Aging Stock, Out-of-Stock, Sell-through Rate, Slow-moving / Non-moving Stock, and Purchase & Replenishment Performance.

• Develop automated dashboards and reporting solutions using Power BI or other Business Intelligence tools.

• Monitor data accuracy and continuously improve reporting processes and systems.

• AI & Advanced Analytics
• Explore and apply Artificial Intelligence, Machine Learning, and Automation to Supply Chain operations.

• Support the development of advanced demand forecasting models using data analytics and machine learning techniques.

• Develop and evaluate AI / Analytics use cases such as Demand Prediction, Inventory Optimization, Replenishment Recommendation, Product Recommendation, Sales Trend Prediction, and Anomaly Detection.

• Explore the use of Generative AI and AI tools to improve productivity, analytical processes, and operational efficiency.

• Collaborate with IT, Data, and Business teams to develop practical AI use cases that can be implemented in real business operations.

• Project Management & Process Improvement
• Participate in and support projects related to Supply Chain, Merchandise, Data Analytics, Digital Transformation, and Business Process Improvement.

• Analyze business requirements and prepare functional or system requirements for development projects.

• Coordinate with Business Users, IT teams, Vendors, and other stakeholders.

• Monitor project timelines, deliverables, risks, and issues.

• Analyze existing business processes and recommend improvement opportunities.

• Support system testing activities, including User Acceptance Testing (UAT).

• Support the implementation and rollout of new systems and processes.

Job SpecificationEducation

• Bachelor's degree or higher in Supply Chain Management, Logistics, Industrial Engineering, Business Administration, Economics, Statistics, Data Science / Data Analytics, Computer Science / Information Technology, Operations Management, or other related fields.

Experience

• Approximately 2–3 years of relevant experience in Supply Chain, Demand Planning, Merchandise Planning, Data Analytics, Business Analytics, Inventory Management, or other related functions.

Technical Skills

• Strong skills in Data Analysis and Analytical Thinking.

• Proficient in Microsoft Excel, including Pivot Tables, Lookup Functions, Formulas, and Data Analysis.

• Experience with Power BI or other Business Intelligence tools is preferred.

• Knowledge of SQL, Python, or other Data Analytics tools is an advantage.

• Good understanding of Demand Forecasting, Inventory Management, and Supply Chain Analytics.

• Interest in and ability to apply AI, Generative AI, Machine Learning, and Automation to business operations.

Core Competencies

• Strong Analytical and Problem-solving Skills

• Data-driven Mindset

• Logical Thinking

• Business Acumen

• Attention to Detail

• Ability to transform large and complex datasets into meaningful insights and actionable recommendations

• Strong Communication and Presentation Skills

• Strong Cross-functional Collaboration Skills

• Project Management Skills

• Ability to manage multiple priorities and assignments simultaneously

• Proactive attitude and willingness to learn new technologies, tools, and methodologies

Key Performance Indicators (KPIs)

• Forecast Accuracy Improvement

• Reduction of Out-of-Stock

• Reduction of Aging / Slow-moving Inventory

• Inventory Turnover Improvement

• Inventory / Stock Cover Optimization

• Dashboard & Reporting Accuracy

• Timeliness of Analysis and Reporting

• Number of Actionable Business Insights / Improvement Initiatives

• Successful Delivery of Supply Chain / Operation SLA