Supply Data Analyst

Reporting directly to the Global Procurement Manager, you will play a key role in ensuring data reliability, maintaining operational tools, supporting day-to-day supply activities, challenging existing processes, identifying inefficiencies, and implementing practical improvements that enhance business performance. Key Responsibilities Data & Analytics • Perform data quality control and identify inconsistencies across operational data. • Run, maintain, and continuously improve dashboards and management reporting tools. • Update stock and inventory dashboards. • Monitor and report on key performance indicators including: Fill Rate On-Time Delivery Stock Coverage • Produce recurring operational reports and KPI reports. • Extract, cleanse, and analyse ERP data while proactively identifying opportunities to streamline data flows. • Explore and implement AI-driven solutions to improve reporting accuracy and operational workflows. Supply Chain & Distribution • Ensure efficient product distribution to retail stores and e-commerce channels. • Follow up sourcing activities with suppliers. • Monitor purchase orders and send supplier reminders where required. • Track order confirmations and shipment milestones. • Detect anomalies within customer order books. • Identify and communicate shortage and overstock risks. • Manage supplier disputes and non-conformities. • Act as the daily point of contact between suppliers and internal stakeholders. • Conduct proactive analyses and support management investigations to drive informed business decisions. Finance Support • Perform invoice and purchase order reconciliation. • Bachelor's or Master's degree in Supply Chain, Business, Finance, Data Analytics, or a related discipline. • 1 3 years of experience within a supply chain, procurement, operations, or data-focused environment. • Previous experience using ERP systems is essential. • Experience with SAP and/or ANAPLAN is highly preferred. Key Skills The successful candidate will demonstrate: • Strong proficiency with data visualisation tools, particularly Power BI . • A genuine interest in AI-driven reporting and automation solutions. • Strong analytical skills with a high level of numerical accuracy. • Excellent attention to detail and data quality. • The ability to identify anomalies, structure complex datasets, and provide meaningful insights. • A process-oriented mindset with a passion for continuous improvement. • Strong organisational and problem-solving skills. • The ability to work independently while collaborating effectively across multiple teams.