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 .
through creating customer confidence, capturing customer data, and building brand loyalty. Maintain up accommodate flexible scheduling expectations including weekend,evening, and holiday schedules. Depending upon
administration duties (reception, filing, faxing, data capturing, typing, opening of client files, correspondence
Service Officers – Full-Time Monday – Friday (No Weekends). FULL TRAINING PROVIDED What you can expect to
leave or away. Salary up to R 25000 (one weekend on one weekend off) Min Requirements: Matric 5 years in
Service Officers – Full-Time Monday – Friday (No Weekends). FULL TRAINING PROVIDED What you can expect to
methodologies Conducts daily cycle counts and capturing figures Allocates stacking in the warehouse Maintain
will include, but not limited to; Assisting of Capturing of supplier invoices Handling all supplier RFC’s
develop personalized insurance. All clients to be captured on the CRM system. Duties/Responsibilities: • improvement and recommend appropriate solutions. • Capture all client information & maintain accurate