are seeking a meticulous and detail-oriented Data Capturer to join our clients insurance brokerage. The and efficiently input and update insurance-related data into our databases. The successful candidate will learn are encouraged to apply. Data Capturing: Enter insurance-related data into the company's database quote information, claims data and other relevant insurance-related data. Data Verification: Review and and cross-check the captured data for errors, inconsistencies, or missing information. Make necessary corrections
Cold stores in Selby looking for data capturer / junior supervisor must have 3 years exp Matric Clean
are seeking a meticulous and detail-oriented Data Capturer to join our clients insurance brokerage. The and efficiently input and update insurance-related data into our databases. The successful candidate will learn are encouraged to apply. Data Capturing: Enter insurance-related data into the company's database quote information, claims data and other relevant insurance-related data. Data Verification: Review and and cross-check the captured data for errors, inconsistencies, or missing information. Make necessary corrections
Cold stores in Selby looking for data capturer / junior supervisor must have 3 years exp Matric Clean
Reference: NFP014178-RDL-3 Are you a skilled data enthusiast with a knack for business analysis? We are talented individual to join our client's team as a Data Analyst Job Description: Join a leading financial products and processes under analysis Investigate data integrity issues alongside the wider team and propose propose viable solutions Communicate complex data insights to both technical and non-technical stakeholders teams to develop data-driven solutions and strategies Establish and implement data validation protocols
the strong leadership of a highly technical Senior Data Engineer to join its team. You will be responsible infrastructure and systems that enable efficient data processing, storage, and retrieval. You will also help ensure the availability and reliability of data for analysis and decision-making. The successful similar discipline with 4-5years' work experience in Data Engineering, Database Administration, or a related or Informatica. DUTIES: Data Architecture and Modeling - Design and develop data architectures that support
Role : AWS Data Engineer Location : Johannesburg [ 3 Days in a week from office] Duration : 12 Months are seeking a highly motivated and experienced AWS Data Engineer to join our Global Markets division. In quantitative analysts, and data scientists to design, develop, and maintain data infrastructure and pipelines background in C# or Python programming and building data pipelines on AWS, especially with AWS Glue Jobs contributing to the design and implementation of data pipelines to support global markets business. It
ITE005925-TMo-1 Looking for a brilliant and inspiring Data Analyst to work in a high tempo and demanding environment / Auditing / Data Science as majors) Job Experience & Skills Required: 5 years data analytics experience SQL, Power BI Experience in data auditing/process auditing through data analytics. Management/Review
within a consultancy known for leading a world class data analytics/warehouse capability and specialising by implementing AI solutions has a vacancy for a Data Warehouse Manager who will be responsible for enabling maintain and support new databases, reporting, data warehouse and business intelligence applications Solutions Contribute to the overall data warehouse architecture and data base designs Maintain and oversee oversee the administration and maintenance of the data warehouse Develop and maintain Business Intelligence
business is repeat business. ENVIRONMENT: JOIN the Data Team of a fast-growing FinTech company with a footprint continent seeking a highly skilled Junior – Mid Data Scientist to help execute the credit scoring roadmap must also have a solid understanding of data warehouses and data structures. DUTIES: Client Limit Management translate business problems into analysis. Proficient in Data Analysis tools (Google Big Query, SQL, Python, R) abilities. Have a basic understanding of data warehouses and data structures. Optional: Passion for Africa