branch network. • Data mapping and management, MIS (Qlikview /nPrinting– multiple data sources); Power troubleshooting, debugging, ensuring quality assurance on data. • Streamlining of processes and procedures, ensuring Role Level Access/Security – ensuring data security. • Automated data distribution. • Daily, monthly, quarterly Competencies • Previous experience working with Azure Data Factory required. • Comfortable working within a be comfortable configuring systems and analysing data. • Self - motivated to ensure personal and professional
specialist firm is on the lookout for a dynamic Senior Data Engineer to spearhead the creation and implementation technologies. If you're a seasoned expert in finance and data with a drive for innovation, seize this chance to driving force of innovation and excellence as a Senior Data Engineer. Don't miss out on this thrilling opportunity—apply to new heights Experience and knowledge Excellent data analysis and exploration using T-SQL, and strong procedures, functions) Knowledge and experience of data warehouse modelling methodologies Experience in
business decisions, through analysing/reporting on data trends, and using trends to forecast business trends collection, analysis and interpretation of data. Key Performance Areas Data preparation and analysis utilising utilising Visual Studio Code and Power BI Reporting on data Presenting findings that communicate trends, patterns opportunities through patterns and trends. Keeping Data Governance Documentation up to date and the maintenance service provider Experience: Minimum of 3 years data analyst experience Financial industry (banking/finance/insurance)
ensure the support and maintain the data warehouse in line with the data model; metadata repository and to knowledge sharing knowledge with team. Structure data into compliance standards by adhering to metadata standards and formats. Manage final transformed data content by complying to prescribed standards for units by providing consulting services that delivers data and information relevant to their business. Contribute or Business Management, Mathematical/Statistics. Data Management (DAMA) Certification, Certification/formal
ensure the support and maintain the data warehouse in line with the data model; metadata repository and to knowledge sharing knowledge with team. Structure data into compliance standards by adhering to metadata standards and formats. Manage final transformed data content by complying to prescribed standards for units by providing consulting services that delivers data and information relevant to their business. Contribute or Business Management, Mathematical/Statistics. Data Management (DAMA) Certification, Certification/formal
and maintaining SAP BW data models. Extracting, transforming, and loading data from various source systems Strong understanding of SAP BW architecture and data modeling concepts. Proficiency in SAP BW tools and DataSources, and InfoObjects. Experience with SAP BW data extraction, transformation, and loading (ETL) processes
edit content to ensure consistency and quality. Capture high-quality photographs to accompany written content
Mode – Basic Reporting and project management Capture time and expenses timeously Weekly status updates
Processing orders and ensuring that the information captured is accurate. Communicating deadlines effectively
Processing orders and ensuring that the information captured is accurate. Communicating deadlines effectively