validating data to perform quantitative analysis for statistical and modeling data. Model creation and Management Bachelors Degree in Actuarial Science / Mathematics / Statistics / Engineering. 5-10 years' experience in Telecommunications
or Master's degree in a related field such as Statistics, Mathematics, Computer Science Power BI,SQL experience Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to solve for defined
validating data to perform quantitative analysis for statistical and modeling data. Model creation and Management Bachelors Degree in Actuarial Science / Mathematics / Statistics / Engineering. 5-10 years' experience in Telecommunications
– Accurate and efficient management of sales statistics and reports i.e. Weekly Pipeline reporting, forecasting forecasting, precinct or sales areas statistics. • Develop a business plan and sales strategy for the
– Accurate and efficient management of sales statistics and reports i.e. Weekly Pipeling reporting, forecasting forecasting, precinct or sales areas statistics. • Develop a business plan and sales strategy for the
Managing financial models Applying advanced statistical predictive modelling Guiding and delegating tasks members Requirements: BSc or MSc in Mathematics, statistics, applied mathematics, actuarial science, finance
utilising data, machine learning, statistical and mathematical models to solve business problems
Managing financial models Applying advanced statistical predictive modelling Guiding and delegating tasks members Requirements: BSc or MSc in Mathematics, statistics, applied mathematics, actuarial science, finance
degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). Proven large datasets efficiently. Experience with statistical analysis techniques and data modelling. Knowledge patterns, and relationships within the Apply statistical techniques and data visualization methods to technologies in data analysis. Expand knowledge of statistical analysis techniques, data modelling, and data
engineering, data preparation, development of statistical models, strategy development, monitoring and