Research Officer (Mining Sector Skills Research)

About the role

The Mining Qualifications Authority (MQA), a SETA under the Department of Higher Education and Training, is looking for a Research Officer (Paterson grade C4) to carry out research on the skills landscape of the mining and minerals sector. The post reports to the Skills Development and Research Manager and aims to generate actionable insights for skills development initiatives. It is a per diem position with a stated remuneration of R 630,120.96 CTC, plus a possible 20% performance bonus.

Key responsibilities

• Contribute to the annual research agenda, research methodology, sampling techniques and research instruments.
• Collect qualitative and quantitative data through interviews, focus groups and surveys, and carry out desktop research and literature reviews.
• Clean, weight, process and analyse data, maintain research databases and ensure data accuracy, security and compliance.
• Compile reports and present research findings to internal and external stakeholders.
• Ensure research quality through quality control processes and manage research projects within timelines and budgets.
• Maintain research records, assist with financial tracking and coordinate meetings, seminars, workshops and conferences.

Required profile

• Postgraduate or Honours degree (NQF level 8) in Social Sciences, Statistics, Data Science or Demography; a Master's (NQF level 9) is an added advantage.
• At least 4 years of research experience in public or private sector, including both qualitative and quantitative methods.
• Proven ability to write and present research reports and to manage research projects independently and collaboratively.
• Knowledge of the research process, mixed-methods research, the mining and minerals sector, labour market analysis, skills development policy and POPIA.

Required skills

• Proficiency in SPSS and ATLAS.ti or NVivo, with examples of previous projects.
• Advanced MS Excel, Word, Teams and PowerPoint; data visualisation (Power BI or Tableau is an added advantage).
• Strong numerical and statistical analysis, data visualisation and qualitative data analysis skills.

Applications require a CV, certified copies of qualifications, a valid driver's licence and proof of identity, submitted by 23 October 2026. Recommended candidates face a competency assessment and vetting, and must disclose financial interests.