Responsible for driving the BI strategy, driving data driven decision-making and operational excellence maintaining reports, dashboards,scorecards,KPIs,data models,accuracy and quality. Take a lead role in tools and systems ensuring data accuracy. Create, support, and maintain data models, reports, and dashboards address evolving data requirements. Ensure the accuracy and integrity of customer master data Conduct in-depth in-depth data analysis to uncover valuable insights that support strategic decision-making. Develop and
provide meaningful analytics and insights, integrating data from various internal and external platforms and including online testing of business data collected from the data warehouse and various business systems to further support business Extract and analyse data, identifying trends in systems and applications currently and predict future forecasts Create and apply data management solutions that are relevant and provide provide information for the business to ensure the data adds value to the operations and that the business
gather data from internal systems to support financial data as reported in Pastel, analyse data from internal IFRS17 standard and application thereof, reconcile data between internal systems and Pastel, and integrate Gathering data from internal systems to support financial data as reported in Pastel; Analyse data from internal standard and application thereof; Reconciliation of data between internal systems and Pastel; Integration internal systems with Vena database; Formatting of Vena data to prepare it for the IFRS 17 system, "Risk Integrity";
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
client realizes the business benefits of improved data analytics through the development and management gain insights from complex datasets, supporting data-driven decision-making efforts. Contribute to shaping interpreting and presenting of financial, client and other data. Consolidate, analyse, interpret and provide high Support stakeholders with data, insights, query resolution and ad hoc analysis of data. Produce targeted reports for the business by providing insight and managing data analysis and interpretation on strategic issues
client realizes the business benefits of improved data analytics through the development and management gain insights from complex datasets, supporting data-driven decision-making efforts. Contribute to shaping interpreting and presenting of financial, client and other data. Consolidate, analyse, interpret and provide high Support stakeholders with data, insights, query resolution and ad hoc analysis of data. Produce targeted reports for the business by providing insight and managing data analysis and interpretation on strategic issues
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