Job Description
Johannesburg – Gauteng – South Africa, Remote
- Design, operationalise and oversee the data governance function within the organisation.
- 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.
- Develop and maintain documentation, SOPs, and metadata to support consistent and high-quality Data Management.
- Design data quality dashboards and set up regular monitoring and review alerts.
- Work within the organisation to enhance data literacy, improve existing data processes and workflows and support future data process design and development.
- Work across teams to roll out data quality improvement plans, design processes to collect missing data or improve data accuracy.
- Facilitate cross-functional collaboration to improve data practices, including onboarding sessions, governance workshops, and learning events.
- Conduct assessments of key data assets and identify potential risks or gaps, including data process mapping.
- Coordinate and lead data governance efforts, including defining data ownership, steward roles, and accountability structures across operational teams.
- Support product stewardship for key data platforms, ensuring alignment between data processes, user needs, and platform functionality.
- Lead or support Change Management processes for data tools and structures, ensuring stakeholder alignment and minimising disruption.
- Monitor data hygiene and escalate discrepancies to the relevant team members.
- 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.
- A minimum of a Bachelors Degree in Statistics, Social Sciences, Economics, Mathematics, or a related field.
- At least 6-8 years of experience in Data Analysis, Data Management or a related field, including experience where you have had ownership over the data process, and demonstrable leadership experience.
- Excellent knowledge of and ability to work with SQL databases.
- 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.
- Knowledge of statistical principles, especially relating to designing and running randomised control trials.
- Experience working in a social impact or nonprofit context.
- Proficiency in Excel and at least one statistical tool (e.g., Stata, R, SPSS).
- Familiarity with survey software (e.g. SurveyCTO), CRMs (Microsoft Dynamics), and Azure.
- Basic knowledge of data process mapping and workflow optimisation.
- Knowledge of automation using code and/or workflow tools (Make.com, Zapier, Power Automate, etc.).
- Strong quantitative and analytical skills
- A curious approach to technology, with interest and experience working across multiple tools to solve organisational challenges.
- Strong attention to detail and accuracy.
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