and reconciling of company's investment accounting data. Conduct asset manager due diligence exercises and Compile data received from asset managers for reporting to Senior Investment Manager. Reconcile data received Investment Manager for the actuarial team. Populate data received from Actuarial department on market performance Consolidating, monitoring, and analysing investment data. Reporting on company's investment portfolio and Statutory Reporting Daily Compilation of Asset managers data and calculation of Assets Under Management (AUM)
and reconciling of company's investment accounting data. Conduct asset manager due diligence exercises and Compile data received from asset managers for reporting to Senior Investment Manager. Reconcile data received Investment Manager for the actuarial team. Populate data received from Actuarial department on market performance Consolidating, monitoring, and analysing investment data. Reporting on company's investment portfolio and Statutory Reporting Daily Compilation of Asset managers data and calculation of Assets Under Management (AUM)
designing, building and deploying BI solutions (e.g., data warehousing models) and creating visualizations Responsibilities: Build enterprise scalable, complex data visualizations, dashboards, KPI scorecards, and reports in SQL, SSRS, Excel Work with the team in data modelling, database design, creating efficient SQL (SQL/PLSQL/Hive) and leveraging large data sets within a data warehouse (Hadoop, Oracle, MySQL) Qualifications beneficial. Proven experience as a BI Developer for data warehouses Proven work experience as a SQL Developer
designing, building and deploying BI solutions (e.g., data warehousing models) and creating visualizations
understanding of finance processes, hierarchies and data, specifically in relation to: Consolidation Planning reporting Strong understanding of finance technology and data landscape Understanding of dimensionality and how process & data analysis, producing functional requirements, solutions design, and data modelling Ability specific business functions including cubes, metadata, data sources, transformation rules, formulas, forms, OneStream,Tax, IFRS,Regulatory reporting, excel, data modelling
organization. Implementation of ‘End Customer Data' based on Distributor data within the existing reporting environment digitalization actively and play a major role in data driven and digital environment. Passion to connect Healthcare Sector (nice to have) - passion for data crunching and data mining. Soft skills: open minded - Team pension fund contributions, fuel card, cell and data allowance
classifiers and tools leveraging machine learning, data regression, and rules-based models. R700 000 - R800 on ML tasks, including data management, training, and deployment. Develop data collections, labeling pipelines experience. Ph.D. or Master's in Computer Science, Data Science, or Machine Learning. Proven experience PyTorch, or scikit-learn. Strong data processing and analysis skills; big data tech experience is a plus. Excellent
expertise in Zoho CRM to optimize campaigns, analyze data, and improve overall marketing performance. 1. Strategy capabilities to identify target audiences, segment customer data, and personalize marketing efforts. • Stay updated media updates, and website content. • Use Zoho CRM data to tailor content to specific customer segments performance and identify areas for improvement. • Make data-driven recommendations to optimize marketing strategies Manage and maintain the Zoho CRM system, including data entry, cleanup, and customization to meet business
data from databases.
/accounting knowledge/experience