Job Description

Data Analyst (JHB Hybrid) IT - Analyst, Data Management
Johannesburg - Gauteng - South Africa
ENVIRONMENT:
A Community Upliftment Programme in Joburg seeks a Data Analyst with excellent knowledge of and ability to work with SQL databases who will play a key role in supporting data-driven decision-making and programme improvement. You will focus on enabling efficient data collection, analysis, and interpretation while improving the quality and timeliness of data insights. The Data Analyst will also support the organisations data governance processes and help build internal data capacity. Applicants will require a Bachelors Degree in Statistics/Social Sciences/Economics/Mathematics or similar field with a minimum of 2 years experience in Data Analysis or a related sector including knowledge of statistical principles, especially relating to designing and running randomised control trials and skilled in SQL, Excel, Stata, R, SPSS, Power BI & Tableau.
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 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.

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