Data Analyst (JB4551) Remote (Suitable for candidates in Gauteng only) R600 000 to R620 000 Annually travel retail sector is looking for a professional Data Analyst. The business' core focus is on providing Team and wider business stakeholders to analyse data and draw conclusions and insights to enable decision-making Minimum of 3 years' experience in a related field i.e. data visualization and analytics, working with businesses environment is desirable Consolidation of data from multiple data sources Internal and external stakeholder
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
and recognition to its employees seeks a Senior Data Scientist who will be accountable for designing Active Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling Analytical, Python Programming, R Code, SQL, Statistical Data Analysis Qualifications and Experience: Degree with Stats/Math/Applied Maths/Financial Risk Management/Data Science/Engineering/Computer Science or related R or Python proficiency. Exposure to extracting data from databases is compulsory. Understanding &
highly skilled Business Intelligence Analyst & Data Scientist to join their dynamic team. The successful successful candidate will be responsible for managing data retrieval and analysis within the organization and organizing data flow, communicating between senior management and the IT department, and analyzing data to determine sources including company data, public information, and purchased sources. Write data collection and processing processing procedures (in SQL). Ensure that data is correctly gathered, stored, and reported. Report on key
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer, you will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
recording and verifying transactions. Cashbook Capture entries, maintain and reconcile cash book Loading details in the bank Process salary and wage entries into cashbook Reconciliation of bank statements on daily basis Processing deposits, debit orders and bank charges in order to reconcile the cash book Processing
payroll, and general ledger entries. Data Entry: Inputting financial data into accounting software accurately payment discrepancies. Reconciliations: Reconciling bank statements with company accounts to ensure accuracy Verifying and resolving any differences between bank statements and company records. Monthly Closings
Job description: Managing the Data Management, General Accounting and Bank processing and Fixed Assets efficient operational processes and procedures. Data integration into systems. Ensure accurate analysis analysis, compilation and reporting of accounting data and revenue. Track performance against objectives to opportunities for automation of process steps and data driven performance measures. Conduct process reviews
completing relevant surveys Identify risks according to bank and departmental policies and take corrective action deliver solutions. Designing scalable and secured data solutions and integration patterns. Requirement Certified: Azure Developer Microsoft Certified: Azure Data Fundamentals Microsoft Certified: Cybersecurity systems Banking knowledge Banking procedures Business principles Business terms and definitions Data analysis
standards. Approving, maintaining, and accurately capturing and authorizing any changes to manufacturing master re-occurrence of incidents. Ensuring all necessary data, training of personnel and applicators, and health