Key Responsibilities -

• Collect, check and analyse supply chain data from ERP, ThoughtSpot, Salesforce, Workday and other business systems.

• Track and report key supply chain metrics such as orders, backlog, fulfilment, forecast accuracy, lead times and delivery performance.

• Produce monthly updates for Sales & Operations Planning and pillar Vertical reviews

• Upload monthly receipt data and On-Time Delivery (OTD) results into Zycus, working with teams to fix missing or incomplete information.

• Support global commodity strategy presentations by gathering and analysing data, and helping create supply chain roadmaps.

• Use data to support demand forecasting, inventory planning and replenishment decisions.

• Improve reporting and analytics using SQL, Excel, Python/R, AI, automation, Tableau and Power BI.

• Build reports, dashboards and visuals that are intuitive in showing trends, clear insights and storytelling.

• Work with teams to find root causes, risks, inefficiencies and improvement opportunities.

• Support data collection and visualisation for CBS Kaizen and future factory events.

• Help improve data accuracy, knowledge sharing, reporting processes, and standard ways of working across the supply chain team.

Skills & Experience

• Strong analytical skills and able to turn complex data into clear actions.

• Good understanding of supply chain processes, including planning, inventory, procurement, logistics and fulfilment.

• Advanced Excel skills, including formulas, pivot tables and data modelling.

• Experience using Power Query, Power BI and Power Automate, including DAX and knowledge of semantic models.

• Experience using visualisation reporting tools such as PowerPoint, Power BI, Tableau or similar

• Knowledge of SQL, R, Python or other data tools would be useful.

• Experience with ERP or supply chain systems such as SAP, Oracle or similar.

• Confident in interrogating data, challenging data quality issues and assumptions.

• Good communication skills and able to explain analysis clearly to different audiences.

• Interest in using AI, automation and other data techniques.

• Self-motivated to deliver high-quality work, meet deadlines and support several priorities at the same time.

Qualifications

• Degree or equivalent experience in supply chain, logistics, business, data analytics, mathematics, statistics, economics or a related field.

• Previous experience in a supply chain, logistics, operations, planning or data analyst role is desirable.

• Professional supply chain or data qualifications, such as CIPS, APICS, Lean Six Sigma or Power BI certification, would be beneficial but are not essential