looking for recruitment Consultants. Requirements for the role: Must be a seasoned recruiter with high full recruitment process from start to finish. Unquestionable commitment to driving recruitment sales a positive and professional manner 3-5 years recruitment experience ● Matric ● Tertiary qualification qualification – HR Related Desired Skills ● recruitment experience ● recruitment sales ● achieving targets ● self understanding of the recruitment process Salary: Basic comm incentives The post Recruitment Consultant appeared
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
MY APPLICATION? Should you be successful, our recruiter will be in contact with you to complete a series Stipend: R 10,000 per month The post Graduate Trainee Data Analyst appeared first on freerecruit.co.za .
foreign exchange. If you are ready to make your next big career move, please apply directly. Job Experience
information management thereof Provide support for recruitment and selection through origination of relevant accurate and up to date information and employee data through maintenance of appropriate and aligned HRIS
from time to time 14. Assist with job execution on big jobs when scheduled APPLICATIONS MUST CONTAIN THE
Z&A Recruitment is delighted to be recruiting an experienced Receptionist for a well-known FMCG company
We are recruiting on behalf of our client for a Retail Sales Representative to join their store in the
Due to rapid growth my client looking to recruit driven Sales Executives to join their team, and help
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