accounts of the portfolio Processing invoices Data capturing Flight bookings, car hire, ticket purchases
accounts of the portfolio Processing invoices Data capturing Flight bookings, car hire, ticket purchases
are audit ready every month. Review accounting data capture, creditors recons & payments. Individual
monthly Base sales; Ensuring that all policies are captured on a daily basis by close of business; and, Following
monthly Base sales; Ensuring that all policies are captured on a daily basis by close of business; and, Following
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";
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)
responsible for collecting, analysing, and interpreting data related to market trends, customer behaviour, competitor for detail, and the ability to translate complex data into actionable insights and recommendations. Key landscapes. Data Analysis: Analyze large datasets using statistical techniques and data visualization forecasts and demand projections based on historical data, market trends, and industry analysis. Competitor strategic recommendations to senior management based on data-driven insights to support business planning and
responsible for collecting, analysing, and interpreting data related to market trends, customer behaviour, competitor for detail, and the ability to translate complex data into actionable insights and recommendations. Key landscapes. Data Analysis: Analyze large datasets using statistical techniques and data visualization forecasts and demand projections based on historical data, market trends, and industry analysis. Competitor strategic recommendations to senior management based on data-driven insights to support business planning and