opportunities for process enhancements Employ statistical techniques to scrutinize data and produce actionable Possesses a solid foundation in data analytics and statistics with practical experience using data analytics in Computer Science, Information Management, Statistics, or a comparable discipline is required, with
and validate machine learning algorithms and statistical models. Build and operationalize predictive models Degree l Diploma in Informatics, Computer Science, Statistics, Mathematics or Information Technology. 4 years
degree / Diploma in Informatics, Computer Science, Statistics or IT Understanding Insurance / accounting principles
manipulation and analysis using SQL, Excel, and statistical software Knowledge of SQL, SSMS and SSRS for
deliverables People and conflict resolution Conduct statistical analysis to gain insights from complex datasets
Degree or Bachelor's in Business Administration/Statistics/Mathematics/Computer Science, or a related field Bachelor's Degree in Business Administration, Statistics, Mathematics, Computer Science, or a related
higher (Engineering/ Computer Science /Mathematics/Statistics). 10 years' experience in commercial analytics leveraging data visualization and knowledge of statistical techniques and software (e.g., MS Power BI, R
of computer science, engineering, mathematics, statistics and/or a combination of these. Knowledge and Knowledge of the process of scientifically and statistically evaluating data in order to determine whether
products
- Business acumen
- Statistical skills
- Financial acumen/aptitude
encountered and monthly support requirements and statistics. EDUCATION General Education High School / FE