Key Purpose of the role This Learnership leads to a nationally recognised FETC: Long Term Insurance NQF employment; Not have completed any previous Learnership. Be between the ages of 18 and 25 years; Have skills mainly MS Excel & MS Outlook The post Learnership – Long Term Insurance (KwaZulu-Natal) appeared
qualifications are in the field of: Mathematics Statistics Computer Science Qualifications: National Diploma Presentation Psychometric Assessments The is a 2 year learnership programme. Stipend: R 10,000 per month The post
Driver Trainer to facilitate drivers, Lifting, Learnership, Safety, Health and Environment training and him/ herself current with all Driver, Lifting, Learnership Safety, Health and Environment education, training
Driver Trainer to facilitate drivers, Lifting, Learnership, Safety, Health and Environment training and him/ herself current with all Driver, Lifting, Learnership Safety, Health and Environment education, training
provide advice to line management regarding labour statistics (turnover, sick leave, absenteeism etc) Responsibile Learning and Development Officer. Co-ordinate Learnerships, inservice training and apprenticeships on site requests etc) Maintain and update Skills Development statistics and reports for the site Facilitate the Performance
provide advice to line management regarding labour statistics (turnover, sick leave, absenteeism etc) Responsibile Learning and Development Officer. Co-ordinate Learnerships, inservice training and apprenticeships on site requests etc) Maintain and update Skills Development statistics and reports for the site Facilitate the Performance
integrity to grant reliability of data to create statistical models. Review historical sales trends, research demand drivers, prepare forecast data, develop statistical forecast models, and evaluate forecast results results. Analyse and validate data to develop statistical forecasts at multiple levels of aggregation for Experience in a similar role Ideally proficient in statistics, forecasting and forecasting methods with an
integrity to grant reliability of data to create statistical models. Review historical sales trends, research demand drivers, prepare forecast data, develop statistical forecast models, and evaluate forecast results results. Analyse and validate data to develop statistical forecasts at multiple levels of aggregation for Experience in a similar role Ideally proficient in statistics, forecasting and forecasting methods with an
resources Min Qualifications – Degree in Maths / Statistics / Engineering / Computer Scie / IT Certifications
corresponding solutions, access government funding for learnerships, guide clients in their compliance with Employment