Data Analyst (JHB Hybrid) at Datafin Recruitment

DUTIES:

Data Analysis and Insights Generation –

• 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.

Supporting Organisational Learning and Adaptive Strategy –

• 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.

Research and Evaluation Support –

• 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.

Data Governance and Quality Assurance –

• 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.

REQUIREMENTS:

Qualifications –

• A minimum of a Bachelor’s Degree in Statistics, Social Sciences, Economics, Mathematics, or a related field.

Experience/Skills –

• 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.

Desirable –

• 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.

ATTRIBUTES:

• 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.