The successful candidate will be expected to conduct research and provide labour market intelligence for the HWSETA in line with business and annual performance plan and to contribute to strategic planning and decision-making.

Key Occupational Descriptors: Contributes toward divisional planning; Conducts big data research in line with the strategic objectives of the HWSETA; Contributes towards the development of the Sector Skills Plan (SSP); Adheres to quality assurance practices and policies and procedures within the RIME sub-division; Reporting to Management and Stakeholders and Stakeholder Engagement. 

Key research skills Proficiency in utilising both Quantitative and Qualitative methods as mixed methods for data analytics (process of collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making). Mastery of quantitative skills as an advantage; Proficiency in big data analysis (process of extracting meaning from data) utilizing Microsoft Excel and at least two statistical analysis software. Proficiency in big data analytics (The process of uncovering trends, patterns, and correlation in large amounts of raw data to help make data-informed decision making) utilising statistical analysis techniques—like clustering and regression—and applying them to more extensive datasets.
Proficiency in research report writing and presentation skills for dissemination of research results. 

Minimum Educational requirements:  Research Master’s degree in field of Statistics, Macro-Economics, Public Health (NQF level 9) or Research Master’s degree Social Sciences (NQF level 9), plus a Certificate in Labour Market Economics and Statistics (NQF level 8). 

Required work experience: 3 years research experience of which 2 must be in Macro or large scale research and a track record of good quality research

Cost to company R876 289 per annum

People from designated groups and with disabilities are encouraged to apply. If you do not hear from the HWSETA within four (4) weeks after the closing date please consider your application unsuccessful.

The position is based in Bedfordview.