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UMALUSI VACANCIES
UMALUSI
JUNIOR STATISTICIAN: RESEARCH
Reference Number QR/01/03
Requirements
An Honours degree in Statistics, and a Master’s (MSc) degree in Statistics will be an added advantage. With at least three (3) years of relevant experience in Statistics • Must have at least one year of experience in data mining, statistical analysis and interpretation • Good knowledge in using SAS and SQL • Exposure to survey designs, sampling techniques, data capturing and data analysis. • The incumbent must be dynamic, self-motivated, self-managing, and able to work under pressure alone or with teamwork. A valid driver’s license. •Good communication skills and good interpersonal skills. Essential criteria: •The successful applicant must have a proven knowledge of SAS programming and data mining using SAS and SQL. •Proficient in Microsoft Office tools like Excel, Access, PowerPoint, Word and Project Management.
Duties
The successful candidate will handle the statistical aspects of research conducted by Umalusi. Assist in maintaining and developing an adequate in-house database for the extensive analysis of assessment results for Umalusi. Assist with processing of data for standardisation and resulting purposes. Provide support to all Umalusi units in terms of their statistical requirements.
JUNIOR STATISTICIAN: RESEARCH
Reference Number QR/01/03
Requirements
An Honours degree in Statistics, and a Master’s (MSc) degree in Statistics will be an added advantage. With at least three (3) years of relevant experience in Statistics • Must have at least one year of experience in data mining, statistical analysis and interpretation • Good knowledge in using SAS and SQL • Exposure to survey designs, sampling techniques, data capturing and data analysis. • The incumbent must be dynamic, self-motivated, self-managing, and able to work under pressure alone or with teamwork. A valid driver’s license. •Good communication skills and good interpersonal skills. Essential criteria: •The successful applicant must have a proven knowledge of SAS programming and data mining using SAS and SQL. •Proficient in Microsoft Office tools like Excel, Access, PowerPoint, Word and Project Management.
Duties
The successful candidate will handle the statistical aspects of research conducted by Umalusi. Assist in maintaining and developing an adequate in-house database for the extensive analysis of assessment results for Umalusi. Assist with processing of data for standardisation and resulting purposes. Provide support to all Umalusi units in terms of their statistical requirements.
Notes
Enquiries: HCM at (012) 030 0735/36. Interested persons may visit the Umalusi website: www.umalusi.org.za to view the full job advertisements and download the application form go to Documents> APPLICATION FORM FOR EMPLOYMENT (On Umalusi Website) https://www.umalusi.org.za/wp-content/uploads/2023/10/Umalusi%20Application%20Form%20for%20Employment.docx
Applications must be forwarded to the relevant email address: Recruit.maninfra@umalusi.org.za
Umalusi is an equal opportunity and affirmative action employer, and all appointments will be made in accordance with the organisation’s Employment Equity Plan to promote its representivity (race, gender and people living with disability).
Correspondence will be limited to shortlisted candidates only.
Umalusi reserves the right not to appoint.
The closing date for applications is 26 January 2024 at 16h00.
Any applications received after the closing date will not be considered.
Salary (per annum): R 424,104
Closing Date: 2024-02-09