responsible for configuring and testing SAP Extended Warehouse Management functions and module solutions. This including inbound/outbound processes, internal warehouse movements, and physical inventory. Integrate SAP data setup, including warehouse structure, storage types, storage bins, warehouse tasks, and resource management Make recommendations to optimize SAP Extended Warehouse Management processes, policies, and procedures
frameworks for data load and extracts, data warehouse and data marts, OLAP, real time data, analytics methodologies like Agile, KANBAN, etc. · Data warehouse and business intelligence concepts (from backend exposure to various BI technologies. 5. Data warehouse and business intelligence concepts. 6. Technical
design, development and the maintenance of data warehouses are adhered to by setting up processes and implementing Continuous improvement (optimisation of data warehouse solutions) Requirements Proven experience as a
stakeholders in a timely manner. Monitoring processes, workers, and methods, and developing plans for increased
costing, implementing and maintaining small Warehouses across SSA. Evaluate and analyse data, processes costing, implementing and maintaining small Warehouses across SSA. Evaluate and analyse data, processes within the warehouse with regards to processes, MHE, WMS, automation and mechanization. Warehouse/X-Dock
costing, implementing and maintaining small Warehouses across SSA. Evaluate and analyse data, processes costing, implementing and maintaining small Warehouses across SSA. Evaluate and analyse data, processes within the warehouse with regards to processes, MHE, WMS, automation and mechanization. Warehouse/X-Dock
including developing data model. Maintaining a data warehouse and analytics environment. Writing scripts for data visualization, using data from the data warehouse and other sources. Develop and distribute reporting
including developing data model. Maintaining a data warehouse and analytics environment. Writing scripts for data visualization, using data from the data warehouse and other sources. Develop and distribute reporting
building scalable ETL systems for a big data warehouse to implement robust & trustworthy data to understanding in designing and developing data warehouses according to the Kimball methodology. Adept at
behalf of users within the campus. Ensure all warehouses within the Inland division are performing optimally EXPERIENCE: Minimum of two years in a similar role, Warehouse operations or retail experience. KNOWLEDGE / SKILLS: