fit-for-purpose analytical methods and techniques, to provide data-driven insights to answer these questions. With and data-driven solutions. ● Build a deep contextual understanding of the business and the data to design meaningful business value. ● Work closely with the data provisioning team to ensure they can provide the consistent, and context-rich data assets that the team requires for data use cases. ● Create algorithms systems to track model performance. ● Presentation of data science opportunities and model outcomes to a variety
information is captured and provided to the customer and broker Strong attention to detail, data analysis, information and assessments of risk Analysing statistical data Reviewing advisor-submitted applications for lump
information is captured and provided to the customer and broker Strong attention to detail, data analysis, information and assessments of risk Analysing statistical data Reviewing advisor-submitted applications for lump
includes the entire cycle of payroll processing from capturing new employees, leave, terminations, etc.) Responsible to ensure proper flow and maintenance of employee data. Administer all instructions from SARS regarding approved loans, advances, and staff purchases before capturing onto the SAGE 300 system. Ensure the accuracy inquiries appropriately. Maintain accurate and current data on the SAGE 300 system. Maintain a proper document
includes the entire cycle of payroll processing from capturing new employees, leave, terminations, etc.) Responsible to ensure proper flow and maintenance of employee data. Administer all instructions from SARS regarding approved loans, advances, and staff purchases before capturing onto the SAGE 300 system. Ensure the accuracy inquiries appropriately. Maintain accurate and current data on the SAGE 300 system. Maintain a proper document
background in process improvement, systems analysis, and data modelling. They will be responsible for analyzing Responsibilities: Marketing Lead acquisition and analysis Data review and digital performance management Risk cohort Productivity analysis Resource utilisation and optimisation Data base segmentation and evaluation Collections & framework to effectively shape the portfolio Claims Data and correlation modelling for investigation process how effectively eliminate lost opportunities IT, Data Science & System Development Exposure to resource
Developer with expertise in C# and experience in data ETL/ELT, who will play a crucial part in designing designing and implementing data ETL/ELT pipelines using tools such as Azure Data Factory, Azure Databricks similar Strong SQL skills and proficiency in data modelling, data warehousing concepts, and database optimization Familiarity with data integration patterns and techniques for handling structured and unstructured data formats
Balance Loading of daily bank payments Cash book capturing Bank reconciliations Debtors Reconciliations Creditors
develop and manage the back-end systems, encompassing data storage, processing, and retrieval, as well as designing & Data Protection: Implementing best practices, you'll establish security measures and data protection with data scientists and analysts to enhance our software's data-driven capabilities, enabling data-driven
generator Generating new sales leads Cold calling data bases Book meetings for external sales reps Min