Finance Concern in Joburg seeks a highly technical Data Engineer whose core role will be to drive, design ETL systems for a Big Data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation experience and understanding in designing and developing data warehouses according to the Kimball methodology processes. SQL development experience, preferably SAS data studio and AWS experience including in-depth knowledge
returns. Compile Bank file ensure changes in banking details are correctly captured Upload Bank file and 3rd 3rd Party Payments to banking platform Proactively investigate issues and/or errors that have been made implementation of new payrolls Verify Payroll data, ensure system data is up to date Ensure all payrolls blueprints
returns. Compile Bank file ensure changes in banking details are correctly captured Upload Bank file and 3rd 3rd Party Payments to banking platform Proactively investigate issues and/or errors that have been made implementation of new payrolls Verify Payroll data, ensure system data is up to date Ensure all payrolls blueprints
qualification for this role. Responsibilities: Capture Creditor transactions and Reconcile Creditor statements Statements Collection of outstanding debt Compile Bank reconciliations Assist with improving and drafting statistical information and interpret financial data Strong attention to detail and accuracy Good communication
Reports to: Financial Manager RESPONSIBILITIES: Capture Creditor transactions and Reconcile Creditor statements Statements Collection of outstanding debt Compile Bank reconciliations Assist with improving and drafting statistical information and interpret financial data Strong attention to detail and accuracy Good communication
Business Analyst to jion their team. Requirements Capture Investigate, record, analyze and confirm system roadmap with business owners Support decisions using a data driven approach Define solution acceptance criteria
laboratories. Liaise with offtakers on monthly settlement data and processes. Reconciling weight and assays between technical input on all WSMD processes. Data gathering and capturing Work within operational system to accurately reconciliations and valuations as required. Maintain data and records for auditing and future reference. 4
laboratories. Liaise with offtakers on monthly settlement data and processes. Reconciling weight and assays between technical input on all WSMD processes. Data gathering and capturing Work within operational system to accurately reconciliations and valuations as required. Maintain data and records for auditing and future reference. 4
services at people who do not have easy access to bank accounts, and we allow them the convenience of being resources, including infrastructure, applications, and data. An enterprise architecture (EA) is a conceptual
financial regulations and internal policies 1.Financial Data Entry and Maintenance Accurately record financial of financial records. 2.Reconciliations Reconcile bank statements, accounts payable, and accounts receivable Financial Analysis Assist in analysing financial data to identify trends, variances, and opportunities