Qualifications and Experience: University degree in Computer Science, Data Engineering or a comparable field of
to finish, while getting involved at a technical level of implementations. Responsibilities Business Analysis reports, analyses, metadata, training, service levels, data quality, and performance • Analyse business that data warehouse meets requirements and service level agreements • Coordinates prototype reviews • Pro-active reports, analyses, metadata, training, service levels, data quality, and performance • Guide users in enterprise business needs and opportunities into high level requirements • Works with the IM team members to
payments. Maintain accuracy of workshop in the computer system. Open and close store with all security good Administrative skills Good numerical skills Computer literate with knowledge of MS Office, Excel, Word
Reliable transport and own cellphone essential
Computer literacy
Requirements Matric EE & Non-EE Candidates Fully Computer Literate Advanced Excel Skills is Crucial Skills
Marketing, Direct Marketing, Digital Marketing, Data Science and Analytics and Business Intelligence for campaign
Marketing, Direct Marketing, Digital Marketing, Data Science and Analytics and Business Intelligence for campaign
open-pit mining operations is essential Advanced computer application skills Immediate availability for
times. Matric EE & Non EE Candidates Fully Computer Literate (Excel, Word, Outlook) Syspro Knowledge
times. Matric EE & Non EE Candidates Fully Computer Literate (Excel, Word, Outlook) Syspro Knowledge