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 .
administration duties (reception, filing, faxing, data capturing, typing, opening of client files, correspondence
service to heavy industry, light industry and commercial businesses. Our core business is the testing experience as an electrician, or quote estimator or capturer as per responsibilities below 2. Must have basic
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
Requirements: BCom Articles 3 years’ experience Commercial working experience within the Automotive industry
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
with cross functions teams and participating in commercial discussions by sharing views and research. What Focused on finding solutions to problems through data, analysis, and probing questions Finding facts and
successful creative itineraries and proposals Capture and confirm bookings in Tourplan Negotiate with