A vacancy exits for the position of I.T Admin Support in the I.T Department of the National Bargaining
management, Learning, Performance Management and data interfaces) requests across Client Business Units management, Learning, Performance Management and data interfaces. Quantify savings and efficiencies related closely with the Data insights team to ensure data flow from all ERP systems to data warehousing and BI Understand the dashboards and reporting, source data to guide business in using these effectively for making. Support the technical and BI teams with data modelling and architecture design. Integration Coordination
for a Head of Data to provide overall leadership, strategic direction and technical data management expertise the data team and business as a whole Ensure efficient, high quality and optimal delivery of data management timeous database set up and data cleaning. Provide training to the data management team Participate in the new project. Keep up to date with the latest data management trends, technologies & practices Solid experience in the data area of the IT industry with at least 3 years data / strategic management
the department on data driven insights and trends, and create and maintain accurate data, dashboards, and recorded End to end system testing Ad-hoc projects Data Analytics to support business needs Ad-hoc analytics Risk areas Use SQL to extract and analyze data to make data-driven, actionable recommendations about how improve policies and processes Work closely with the Data Science team to price and implement Machine Learning processes Data development and maintenance Assist and advise on creating and maintaining data in the optimal
the department on data driven insights and trends, and create and maintain accurate data, dashboards, and recorded End to end system testing Ad-hoc projects Data Analytics to support business needs Ad-hoc analytics Risk areas Use SQL to extract and analyze data to make data-driven, actionable recommendations about how improve policies and processes Work closely with the Data Science team to price and implement Machine Learning processes Data development and maintenance Assist and advise on creating and maintaining data in the optimal
a view of how to migrate to Data Lake architecture as the quantity of data scales. Required to lead the for optimal performance. Ensure data security, scalability, and data integrity within all processes and software design to meet specifications. Streamline data import and integration processes Advise on areas Experience working with Data Lake architecture beneficial. Skilled in importing data from various sources clearly document and execute processes relating to data setup, technical roadmaps for clients and solution
revenue operations and CRM platforms and structure data flows, as well as owning the nurture and email sequences Management Creating a data cleanness structure Restructuring and setting up an optimised data structure within Creation and Management - Take ownership of the data and key data systems and providing support to relevant and/or API's that are needed to source the relevant data Own means of reliable transportation Ability to such as Computer Science, Information Technology, Data Science, or a related discipline / qualification
responsible for developing and maintaining data solutions, performing data analysis, and providing insights to Responsibilities: Design, develop, and maintain data solutions using Azure Synapse, SSIS, SSRS, SSAS SSAS, and Power BI. Handling the delivery of data and information relating to the business intelligence of Power BI. Designing, developing and maintaining data warehouse and analytics architecture to meet clients' working with large datasets. Experience with data modelling and data warehousing. Excellent communication and
requirements. Identify ways of presenting and analysing data to improve customer and user experience as well BI/Tableau/Qlik Proven ability to develop dashboards Data analysis skills Project Management Ability to take to communicate with Stakeholders Ability to use data to improve Business Implementing new and upgraded
synchronization and alignment of data within operational systems.