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
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
professional Front Desk Clerk to oversee all receptionist and secretarial duties at our main entrance
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
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
healthcare industry is looking for an experienced Data Scientist to join their team. If you come from the these Relevant data science certification such as Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning is not negotiable Minimum 5 years experience in data science related projects Experience in Python / notebooks SQL Knowledge and working with large scale data sets Machine learning techniques experience Working Agile environment Experience in operationalizing data science solutions Critical: Experience in a high-scale
motivated Data Engineer to join their dynamic team as an integration specialist. As a Data Engineer, maintaining their data infrastructure and pipelines. You will collaborate closely with the data scientists, reliable data flows throughout the organisation. The ideal candidate has a strong background in data engineering scalable and efficient data pipelines and ETL processes to ingest, transform, and load data from various sources sources. - Develop and implement data warehousing solutions. - Collaborate with cross-functional teams
refine data collection tools, design, develop, and maintain databases, perform logic-based data validation validation rules for quality assurance on data, timely reporting, and documentation Location: VIDA – Chris Johannesburg, Gauteng Key performance areas: Technical Data Management and Analytics Contribute to refining development of HDSS data collection forms Draw up the specifications for harmonized data sets to send out participating HDSS sites Guide and lead routine data operational reports to inform on smooth field processes