Intern: Data Analyst (Marketing)
An exciting opportunity for someone who is is passionate about data analysis and its applications in Marketing. As a Data Analyst in the Marketing Department, you will play a crucial role in analyzing data to drive insights and improve decision-making.< ong>
Data Collection and Analysis:
Reporting
JHB001726-KK-1 Join our IT Hub South Africa as a Data Scientist-AI Platform, focusing on innovative AI
We are seeking an experienced AWS Data Engineer to join my client's team in Johannesburg for a 6-month Migrate data infrastructure components from source to target AWS accounts Enhance and optimize data pipelines Azure DevOps for efficient deployment Ensure proper data access, permissions, and security controls Collaborate requirements Qualifications: Experience with AWS data services Proficiency in Terraform for cloud infrastructure provisioning Experience with Python and its use in data engineering pipelines Solid understanding of CI/CD
SAP, JAVA, Azure, Cloud is looking for an Azure Data Engineer . The unique positioning gives a deep insight maintaining Big Data Pipelines using Data Platforms Custodians of data and must ensure that data is shared need-to-know basis Experience using programming skills in data related programming languages and frameworks, such Kusto Experience with Azure Data Solutions: Azure Data Factory, Azure Data Explorer, Azure Databricks Profound technical understanding for Data Engineering and Data Warehouse Design Familiar with modern
some Python and AWS data engineering experience, as everything will be related to data ingestion, storage
To provide data capturing services to the programme by capturing all the required key data timeously and accurately; for reporting research and collecting data. Trace exited EPWP participants including other administrative activities. Provide Data Capturing activities Assist with completeness of Data Ensure Office Administration
mining client is currently seeking the services of a Data/Technical analyst to join their team for a project KEY PERFORMANCE AREAS ·View, analyse and compare data from mining site to provide valuable insights that that drive business decisions ·Translate data into reports and dashboards and communicate to stakeholders work with data sets from different data sources to collate information for stakeholders Data extraction extraction, capture and analysis skills Excellent presentation, communication skills and reporting skills Ability
perform data quality checks in a methodical manner to understand how to accurately utilize client data. Expert challenges of advanced data manipulation, complicated programming logic, and large data volumes is required Provides solutions for data driven applications involving large and complex data and providing reconciliation from source to end reporting data marts. Design Conceptual and physical data model for a global Datawarehouse practices/standards. Build monitoring and testing mechanisms on data transformations Continuous improvements on AWS in
insurance space is on the lookout for a AWS Data Cloud Engineer (big Data Engineer) Knowledge /Qualifications perform data quality checks in a methodical manner to understand how to accurately utilize client data. Expert challenges of advanced data manipulation, complicated programming logic, and large data volumes is required Provides solutions for data driven applications involving large and complex data and providing reconciliation from source to end reporting data marts. Design Conceptual and physical data model for a global Datawarehouse
its active data collection phase. The PSYMAP-ZN project is currently seeking to hire a Data Manager. The The Research Data Manager will be working with a local and international research team that studied the be responsible for managing data curation procedures, such as merging data files and maintaining longitudinal longitudinal and cumulative data. Additionally, the Research Manager will be tasked with handling other related · Administrative data management systems · Maintain day-to-day oversight of the data department to ensure