1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
Stipend: R 10,000 per month The post Graduate Trainee Data Analyst appeared first on freerecruit.co.za .
Electrical Site Engineer Civil Site Engineer Architect Welding Engineer Land Surveyor Mechanical Engineer
Urgently Land Surveyor , Welding Engineer, Architect Engineering Degree SAP Knowledge 1 to 8 years of
Urgently Land Surveyor , Welding Engineer, Architect Engineering Degree SAP Knowledge 1 to 8 years of
the necessary consultation with the Technical Architects, Functional Owners. Salary: From R 50 000 – R
the necessary consultation with the Technical Architects, Functional Owners. Salary: From R 50 000 – R
apply technology to quantify problems and interpret data in a rational and objective manner You are an analytical policies and procedures in order to manage and mitigate risk You focus on finding and documenting the facts to
Focused on finding solutions to problems through data, analysis, and probing questions Finding facts and the organisation in order to manage and mitigate risk Being reliable and completing work within agreed
creating customer confidence, capturing customer data, and building brand loyalty. Maintain up to date handling, locked storage of product, and recognising risk. Must be able to accommodate flexible scheduling