within the company. Who we are looking for: Recent Graduates : You've got your bachelors of Commerce in Information including performance metrics and system usage statistics. Participate in IT Projects: Collaborate on IT previously been part of a SETA funded internship or graduate program. Bachelor of Commerce in Information and
possess a Master's/Bachelor's Degree Mathematics/Statistics/Computer Science or similar field with 3 years patterns, and relationships within the data. Apply statistical techniques and data visualization methods to technologies in Data Analysis. Expand knowledge of statistical analysis techniques, data modelling, and data Degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). Experience/Skills large datasets efficiently. Experience with Statistical Analysis techniques and Data Modelling. Proficiency
master's degree in a relevant field (Mathematics, Statistics, Computer Science, Data Analytics/Science) 3 particularly Google Looker Experience with statistical analysis techniques and data modelling Familiarity patterns, and relationships within the data Apply statistical techniques and data visualisation methods to technologies in data analysis Expand knowledge of statistical analysis techniques, data modelling, and data
master's degree in a relevant field (Mathematics, Statistics, Computer Science, Data Analytics/Science) 3 particularly Google Looker Experience with statistical analysis techniques and data modelling Familiarity patterns, and relationships within the data Apply statistical techniques and data visualisation methods to technologies in data analysis Expand knowledge of statistical analysis techniques, data modelling, and data
and relationships within the data. - Apply statistical techniques and data visualisation methods to technologies in data analysis. - Expand knowledge of statistical analysis techniques, data modelling, and data degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). -
and relationships within the data. - Apply statistical techniques and data visualisation methods to technologies in data analysis. - Expand knowledge of statistical analysis techniques, data modelling, and data degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). -
knowledge of SQL and Relational databases Visual Studio 2013 Source Control (e.g. TFS and GIT) Domain Driven
knowledge Active Directory Exchange Server 2010/2013 (2016 advantage) Matric N and A Nice to have MCSE
Applicants must possess a Degree in Actuarial Science/Statistics/Mathematics or Engineering with proficiency in Qualifications – Degree in Actuarial Science, Statistics, Mathematics, or Engineering. Experience/Skills
Qualifications: Degree (Honors / Masters / PHD) in Statistics, Computer Science, Engineer or Mathematics or solutions Identify and implement data mining / statistics / machine learning techniques Validate and test