quality. Employ sophisticated analytics and statistical methods to prepare data for use in prescriptive or Data Warehousing knowledge (advantageous) Statistical languages (such as R and Matlab) (advantageous)
validating data to perform quantitative analysis for statistical and modelling data. Analysis of historical data Bachelor's degree in actuarial science/mathematics/Statistics/Engineering Experience: 5 to 10 years' experience
the company. Update membership details. Track statistics. Track membership revenue. Manage retention of
the company. Update membership details. Track statistics. Track membership revenue. Manage retention of
Degrees: BBusSc, BCom Financial Mathematics, Statistics; Chemical Engineering Very Strong in Mathematics
valuable information from large datasets. - Apply statistical techniques and hypothesis testing to validate hands-on experience with machine learning and statistical analysis. Proficiency in data analysis and modelling
— Accurate and efficient management of sales statistics and reports i.e. Weekly Pipeline reporting, forecasting forecasting, precinct or sales areas statistics Develops a business plan and sales strategy for the market
— Accurate and efficient management of sales statistics and reports i.e. Weekly Pipeline reporting, forecasting forecasting, precinct or sales areas statistics Develops a business plan and sales strategy for the market
Familiarity with conducting data analysis and reporting statistics Proficient in MS Office; Working knowledge of
Familiarity with conducting data analysis and reporting statistics Proficient in MS Office; Working knowledge of