Data Analyst​/Statistician

Position Purpose

To systematically collect, cleanse, analyse, interpret and transform data into meaningful insights that inform strategic and operational decision-making.

Data Analyst / Statistician

Fempower

Monday, March 2, 2026

Pretoria, South Africa

The role requires applying statistical techniques and analytical tools to uncover patterns, trends and relationships that support evidence-based planning and improved service delivery within the public sector environment.

• Support data collection initiatives across various programmes and projects
• Conduct statistical analysis and interpret complex datasets
• Identify trends, patterns and relationships within data
• Draw meaningful conclusions to inform decision‑making
• Generate actionable insights and recommendations
• Apply descriptive and analytical statistical techniques
• Utilise tools such as Excel, SPSS, R, Python and other analytics software

• Compile detailed analytical reports and sector profiles
• Develop dashboards and data visualisations (graphs, charts, tables)
• Present findings clearly to both technical and non‑technical audiences
• Provide written briefs and presentations to support strategic planning
• Contribute to regular information updates and sector intelligence outputs

• Support development and enhancement of data applications and dashboards
• Assist in monitoring and reporting frameworks
• Ensure accurate and timely dissemination of analytical findings

• Engage internal and external stakeholders for data sourcing and validation
• Build collaborative working relationships
• Communicate complex data findings in a clear and structured manner

• Bachelor’s Degree in Statistics, Data Science, Mathematics, Economics, Information Systems or related field
• Postgraduate qualification advantageous

• Minimum 5 years’ experience in data analytics or related role
• Proven experience in:
  • Data cleaning and preparation
  • Statistical analysis
  • Data visualisation
• Experience with in a public sector or governance‑related environment advantageous

• Strong statistical analysis capability
• Advanced MS Excel skills
• Proficiency in MS Office (Word, PowerPoint)
• Experience with SPSS, R, Python or similar statistical tools
• Data validation and quality assurance knowledge
• Research methodology understanding