Johannesburg: Data Analyst (JHB Hybrid) posted by Datafin

About the Role

Datafin is seeking a Data Analyst to join their team in Johannesburg. The successful candidate will play a key role in supporting data-driven decision-making and programme improvement, working closely with programme teams and leadership to enable efficient data collection, analysis, and interpretation.

Key Responsibilities

• 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.

Requirements

• Qualifications: A minimum of a Bachelors 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.