Data Analytics Statistician at South African Local Government Association

QUALIFICATIONS AND EXPERIENCE 

• Applicants must be in possession of a Bachelor’s degree in Information Science/Information Management, Data Science, Economics, Social Science, Public Policy, or a related field Valid Driver’s license and preferably own vehicle. (Travel could be required)
• Ability to maintain high-level of accuracy and confidentiality 5 years’ relevant experience in information analysis and reporting (and/or applied research), including developing insight products (briefs, dashboards, reports) and presenting findings to decision-makers 
• Proficiency in tools for organising, analysing, and publishing data e.g., SPSS, SAS, and Stata for specialized analysis, and Tableau or Excel for visualization, enabling effective data interpretation and decision-making 

KEY PORTFOLIO AND PERFORMANCE FOCUS AREAS 

• Information Analysis & Interpretation: Source, integrate, and analyse information from internal repositories and datasets and credible external sources to identify trends, risks, opportunities, and implications for SALGA and municipalities. Apply appropriate analytical techniques (e.g., descriptive statistics, segmentation, forecasting, and where required modelling) to validate insights, quantify uncertainty, and strengthen conclusions in information products. Assure information quality by validating source credibility, data completeness/consistency, and results; document definitions, assumptions, and provenance; and maintain version control so outputs are auditable and reusable.
• Insight Synthesis & Storytelling: Synthesize research, policy, and performance information into clear, audience-appropriate narratives (briefs, talking points, insight notes) that connect context, evidence, implications, and options; articulate the “so what?” and “now what?” for technical and non-technical stakeholders. 
• Information Products & Reporting: Develop and maintain information products (reports, presentations, and fact sheets) using appropriate tools (e.g., Excel, PowerPoint etc.); apply visual and accessibility standards, and package outputs using agreed templates for consistent organisational reporting. 
• Decision Support & Recommendations: Translate evidence into decision support by framing options and recommendations, highlighting assumptions, trade-offs, and feasibility, and proposing indicators to monitor implementation and impact over time. 
• Stakeholder Engagement & Knowledge Sharing: Engage stakeholders through briefings, workshops, and presentations to clarify data needs, manage expectations, and build shared understanding; capture key inputs and lessons learned, and support knowledge-sharing practices that strengthen evidence use across SALGA and municipalities. 
• Information Governance & Quality: Governance: Apply information governance practices (classification, confidentiality, privacy, and records/information management requirements); ensure appropriate handling of sensitive municipal and organisational information. Define and maintain information standards, indicator definitions, metadata, and taxonomies (including tagging and naming conventions) to enable consistent retrieval, reporting, and reuse. Maintain a source register and undertake information scanning (policy, research, sector reports, and municipal submissions); verify credibility and currency of sources and curate inputs for priority themes. 
• Solution Design: Collaborate with cross-functional teams to design and implement technology or process solutions.