Data Analyst (JHB Hybrid)

Datafin Recruitment; Johannesburg; Hybrid; ZAR 300,000 - 400,000; Full time

Job summary

A recruitment agency is looking for a Data Analyst in Johannesburg to conduct data analysis, ensure data quality, and support strategic decisions. Candidates should have at least a Bachelor's degree in a related field and 2 years of experience in data analysis. Familiarity with SQL and statistical tools is essential for success in this role.

Qualifications

• A minimum of a Bachelor's 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.

Responsibilities

• Conduct data analysis to support decision-making and programme improvements.
• Assist with enabling teams to leverage insights for learning.
• Support the Senior Data Analyst with research design and data analysis.

Skills

Data Analysis

Statistical Tool Proficiency (e.g., R, SPSS)

SQL Databases

Data Visualization (e.g., Power BI)

Attention to Detail

Education

Bachelor's Degree in Statistics or related field

Tools

Excel

Power BI

Tableau

Job description

Job Title: Data Analyst (JHB Hybrid)

Location: Gauteng, Johannesburg | Deadline: September 01, 2025

DUTIES:

1. 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:

• 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 randomized 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), CRMs (Microsoft Dynamics), and 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, including learning how by doing differently.
• Clear curiosity (asking questions, questioning assumptions, trying new approaches).
• Track record of learning.
• Openness to and appetite for feedback.
• Familiarity with societal issues, systems thinking, design thinking, and iterative designing.
• Driving to succeed.