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
the POPI Act (Act No. 4 of 2013: Protection of Personal Information Act, 2013). Section 9 of PoPI states
the POPI Act (Act No. 4 of 2013: Protection of Personal Information Act, 2013). Section 9 of PoPI states
Requirements Bachelor's degree in Finance, Economics, Statistics, or a related field Proven experience as a Financial Excellent MS Excel skills Strong knowledge of statistical analysis and data visualization tools (e.g.,
Requirements Bachelor's degree in Finance, Economics, Statistics, or a related field Proven experience as a Financial Excellent MS Excel skills Strong knowledge of statistical analysis and data visualization tools (e.g.,
Requirements Bachelor's degree in Finance, Economics, Statistics, or a related field Proven experience as a Financial Excellent MS Excel skills Strong knowledge of statistical analysis and data visualization tools (e.g.,
Protection of Personal Information Act, Act 4 of 2013 (“POPIA”).Should you not receive a response within
is POPIA (Protection of Personal Information Act, 2013) compliant. R 20000 - R 25000 - Monthly
is POPIA (Protection of Personal Information Act, 2013) compliant. R 20000 - R 25000 - Monthly
Requirements include: Degree in either Mathematics, Statistics or Actuarial Science from an accredited university