Job Description
Johannesburg – Gauteng – South Africa
- Conduct data analysis to support strategic decision-making and programme improvements.
- Respond to data requests from programme teams and leadership.
- Conduct routine data checks to ensure data integrity.
- Identify patterns and trends in data and provide clear summaries for different audiences.
- Support the preparation of data insights briefs and reports.
- Create, enhance and support the use of interactive dashboards and analytics tools to improve data-driven decision-making across the organisation and network.
- Assist with enabling teams to leverage insights for learning and programme improvement.
- Contribute to rapid experimentation by supporting data collection and analysis processes.
- Support the delivery of basic data literacy training across the organisation to improve data engagement and interpretation
- Support teams to improve data capturing, quality assurance and related processes.
- Translate data insights into accessible formats for Programme teams and leadership.
- Support the Senior Data Analyst and Research team with research design, data analysis, and interpretation.
- Assist in co-conceptualising and co-creating research and evaluation questions, studies, and terms of reference.
- Provide input into research reports and recommendations.
- Enable and support data governance processes, including data availability, accessibility, integrity, quality (including accuracy, consistency, and reliability), usability, security, and compliance (in collaboration with IT and Legal teams).
- Assist with regular data cleaning and quality checks to ensure high data integrity.
- Conduct assessments of key data assets and identify potential risks or gaps, including data process mapping.
- Maintain and update metadata to ensure consistent and accurate data management.
- Monitor data hygiene and escalate discrepancies to senior team members.
- A minimum of a Bachelors Degree in Statistics, Social Sciences, Economics, Mathematics, or a related field.
- At least 2 years of experience in Data Analysis or a related field.
- Strong quantitative and analytical skills, with proficiency in Excel and at least one statistical tool (e.g., Stata, R, SPSS).
- Excellent knowledge of and ability to work with SQL databases.
- Knowledge of statistical principles, especially relating to designing and running randomised control trials.
- Experience with data visualisation tools (e.g., Power BI, Tableau).
- Ability to summarise data insights and communicate findings to non-technical audiences.
- Experience in managing and working with large datasets.
- Strong attention to detail and accuracy.
- Experience working in a social impact or nonprofit context.
- Familiarity with survey software (e.g. SurveyCTO) and CRMs (Microsoft Dynamics) as well as Azure.
- Familiarity with data governance, including privacy, compliance, and security requirements.
- Basic knowledge of data process mapping and workflow optimisation.
- Experience in, or familiarity with, Early Learning, ECD, Education, Public Health.
- Ability to work collaboratively and effectively in a cross-functional team environment.
- Demonstrated ability to design and implement rapid experiments.
- Strong strategic thinking and problem-solving skills.
- Behaving trustworthily: being reliable, accepting, open, congruent (i.e. integrity).
- Learning curiously, incl. learning how by doing differently –
- Clear curiosity (asking questions, questioning assumptions, doing differently, trying things).
- Track record of learning.
- Openness to & appetite for feedback.
- Familiarity with and curiosity about –
- Societal scale.
- Systems doing-and-thinking.
- Design thinking & iterative designing.
- Driving to succeed.
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