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
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
debtor and creditor queries raised by management. Capturing of transactions in bank accounts and preparing attention to the details of the recipients being captured and referenced correctly. Checking the funds required transactions not recorded via normal transactions captured by finance staff, such as transfer, bank charges problem-solving skills. Ability to analyse and interpret data/reports. Ability to work under pressure and handle
clients allocated and ensuring accurate capturing and updating on all data systems
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
Internal Operations Team, Management and Tenants, capturing Performance Trends against the KPIs. Prepare timely
Internal Operations Team, Management and Tenants, capturing Performance Trends against the KPIs. Prepare timely
Balance Loading of daily bank payments Cash book capturing Bank reconciliations Debtors Reconciliations Creditors