known for leading a world class data analytics/warehouse capability and specialising in AI and applications AI solutions has a vacancy for a Data Warehouse Manager who will be responsible for enabling maintain and support new databases, reporting, data warehouse and business intelligence applications from high-level Solutions
Working within a Team of BI and Data Warehouse Developers to create data and reporiting platforms. Working data mapping and thorough understanding of data warehouse and BI concepts.
Server, etc.); extensive experience with data warehouse implementations; and strong knowledge of logical specifications that will be used to drive data store/data warehouse/data mart design and configuration
to Revised annual plan in place Key user for Warehouse Management System NQF level 6 Qualification Up MS PowerPoint SAP knowledge Key User for the Warehouse Management System Analytical skills Decision making
to Revised annual plan in place Key user for Warehouse Management System NQF level 6 Qualification Up MS PowerPoint SAP knowledge Key User for the Warehouse Management System Analytical skills Decision making
Server, etc.); extensive experience with data warehouse implementations; and strong knowledge of logical specifications that will be used to drive data store/data warehouse/data mart design and configuration Use ETL tools tools to load data store(s)/data warehouse(s)/data mart(s) Provide support as required to ensure the availability
implement robust data solutions, including data warehouses, data lakes, and BI platforms. Conduct comprehensive of data solutions. Proven experience with data warehouse and BI solution performance analysis, tuning,
support of Epics.Â
documentation in support of Epics. Company Data Warehouse Monitoring and Support: Monitor data pipelines ensure that the warehouse meets its SLA timelines for data availability and warehouse reliability. Company that all jobs ran successfully and that the data warehouse is maintained according to standard. Collaboration:
documentation in support of Epics. Company's Data Warehouse Monitoring and Support: Monitor data pipelines ensure that the warehouse meets its SLA timelines for data availability and warehouse reliability. Company's that all jobs ran successfully and that the data warehouse is maintained according to standard. Collaboration: