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
for various tasks including system development, data analysis, and other initiatives. You will be a member construction and maintenance of web applications, APIs, and data analytics solutions. The responsibilities of the functionality of existing systems Implement security and data protection solutions Assess and prioritize feature Design, implement, and maintain ETL pipelines for data loading and transformation. Construct modular components enhance reusability. Develop secure and efficient data lakes and warehouses. Build intuitive dashboards
strong understanding of financial platforms and data services is critical to this role.
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industry knowledge of current business architecture, data management and governance with a proven delivery
width="67%"> Experience in business data analysis and data flow mapping for data elements and data virtualisation services
width="83%"> Understanding of key business concepts and data broker data services such as DOHA verification, financial
ding of key data virtualisation platforms such as DENODO and the development of API data services for
liaising with CSG based on SAP data
3 Pipeline Management
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need by liaising with CSG based on SAP data Analysing collateral data taking into consideration the collateral Timeously capture valuation data on SAP. Ensure Sign off by valuers of data captureo on SAP Collateral valuation data ManagementData Analysis for reporting 3. Pipeline Management Extract updated data from SAP Services department. Data Analysis for reporting 4. Collateral Register: valuation data Management Timeously capture valuation data on SAP. Ensure Sign off by valuers of data captured on SAP Data Analysis for reporting
reporting skills
and reconciling of companys investment accounting data.
expertise in optimising database performance, ensuring data security, and implementing best practices in Microsoft efficiency. 3. Data Security: Implement robust security measures to protect sensitive data, including access and auditing mechanisms, ensuring compliance with data protection regulations. 4. Best Practices Implementation: maintenance, ensuring scalability, reliability, and data integrity. 5. Backup and Recovery: Develop and maintain maintain backup and recovery strategies to minimise data loss and downtime in case of system failures or
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)