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 .
uniform and badge are worn at all times Minimize any losses by handling all merchandise carefully Adhere to
effectively and efficiently in order to prevent financial losses. • Deliver work activities adequately to satisfy
Ensure processes are followed to reduce errors and losses and take pride in your quality of work. Offer world-class
involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate the effectiveness areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans
Auditing/Finance/Accounting · Basic knowledge in Electronic Data Processing · Have 4 years Auditing experience ·
managing stock requirements; spend transparency, and data accuracy. Minimum Requirements: 3 years’ Stores
procedures, and security protocols to protect sensitive data and maintain regulatory compliance Assist with install hardware, and peripheral device operation Server data storage management (including backups) Collaborate
registering of all documents onto the Electronic Data Management System adhering to recordkeeping policies