for a Data Engineer to join their team. The purpose of the Data Engineer is to leverage their data expertise expertise and data related technologies, in line with the Company's Data Architecture Roadmap, to advance purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning and solutions around big data that support the Bank's strategy to become a data driven organisation Software
Reference: ITE006013-DAP-1 Are you a meticulous Data Analyst with a passion for finance? A leading financial dynamic team. Key Responsibilities: Data Collection & Management. Data Analysis. Reporting & Visualization Collaboration with IT and other departments to implement data-driven solutions. Continuous Improvement Qualifications Qualifications & Skills: Education: Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer certification in data analysis or finance is a plus. Experience: Minimum of 1-3 years in data analysis within
Data Warehouse Manager manages the daily activities of the team responsible for the design, implementation maintenance, and support of data warehouse systems and projects. Oversees data design and the creation of and data repositories. The Data Warehouse Manager must also establish and lead a world class data analytics/warehouse Existing data warehouses Develop, test, deploy, maintain and support new databases, and reporting, data warehouse developments and trends in the data enablement field to assist the business to keep its data analytics and management
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
power of data? Join us as a Data Scientist Dive into cutting-edge projects, analyze Big Data, and craft Responsibilities: Apply advanced data science techniques to optimize data value extraction and analysis maintain projects using Big Data technologies. Utilize machine learning, data mining, and anomaly detection detection to enhance data insights. Present findings effectively, foster collaboration, and innovate for market Proficiency in quantitative model building and data analytics. Experience with machine learning model
management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
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