their issues. You will be required to analyze fraud data and identify potential fraudulent activities, answer
management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical structured and unstructured data sets. Responsibilities: Ability to do routine data cleaning and analysis tasks and correlations in data from which hypothesis can be build Ability to turn data insights into practical practical actions resulting in improved results Data Visualization Modify rule-based scorecards, frameworks available data (Logistic regression, random forest, etc) Ability to train and maintain models Data cleaning
Sales Data Entry Clerks R5k, Permanent Office Jobs in Johannesburg. Get this text quote. Sales Data Entry City: Johannesburg. We urgently looking for sales data entry clerks. Must be willing to complete all duties
a Testing client is looking for a skilled Junior Data Analyst for their Johannesburg and Durban offices of competency. Experience 1 - 2 years' relevant data analysis experience in a professional working environment
scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum
The Data Analyst is responsible for managing and maintaining the organization's databases, ensuring their to support the data infrastructure needs of the company. Scope of the Role: The Data Analyst plays a database issues, optimizing performance, and ensuring data availability. The role requires both independent necessitating strong communication and teamwork skills. The Data Analyst will contribute to strategic planning for infrastructure improvements and support the organization's data-driven initiatives. Database Management: Install
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
Our client is seeking a mid-level Data Administrator who will be responsible for managing and maintaining support the data infrastructure needs of the company. Scope of the Role: The mid-level Data Administrator database issues, optimizing performance, and ensuring data availability. The role requires both independent necessitating strong communication and teamwork skills. The Data Administrator will contribute to strategic planning infrastructure improvements and support the organization's data-driven initiatives. Key Responsibilities: Database
wants to join a people centric growing business as a Data Analyst Objectives of the Role Ensure that DMA, accreditation and contractual requirements. Ensure data generation and conversion are assessed and sufficient Testing (GET) for all product and game types. Conduct data generation as per agreed criteria with client. Conduct (RNG) testing in line with requirements. Conduct Data Monitoring and Analysis (DMA) as per the agreed
upbeat company that helps clients understand the rich data collected from the traditional retail market in and Africa broadly are in the market for a Junior Data Engineer . The ideal candidate will have a strong background to help drive value from the company's data, this person will wear many hats in the role with the development team, data analysts and BI analysts to help build and maintain data flows that supports the back-end systems Model front-end and back-end data sources to help draw a more comprehensive picture