Terms of Reference (Support Data Analyst)
AfriLabs Background
AfriLabs is a network organization supporting over 500 technology and innovation hubs across 53 African countries. We support the growth of technology hubs and their community to raise high potential entrepreneurs that will stimulate economic growth and social development in Africa. We do this by providing capacity building resources, financing, mentoring and networking opportunities to our network members.
World Innovation Summit for Education (WISE) Background
WISE is a dynamic platform that promotes innovation in education through a diverse portfolio of initiatives in policy engagement, research, leadership, and practitioner programs. The WISE community is made up of a network of education stakeholders – from students to decision-makers – from about 200 countries who share ideas and collaborate to seek creative solutions to solve challenges facing education.
Education Collaborative (EC) Background
The Education Collaborative spearheads a collective engagement model that promises to transform higher education outcomes in sub-Saharan Africa. This initiative uses a network approach to build trust and foster collective commitments among higher education leaders and stakeholders to generate sustainable results within the systems they govern and influence. Central to this pioneering movement is a membership model that promotes open engagement, sharing, and community accountability among participating institutions.
About the AI Integration in African Universities and AI-Powered Solutions by African EdTech Startups Study
The objectives of this study align with WISE’s mission to promote educational innovation globally, with a specific focus on the Global South. The collaborative efforts between AfriLabs and the Education Collaborative (EC) will ensure that the study delivers actionable insights and practical recommendations including:
Create a detailed map of AI-driven EdTech startups across Africa, identifying the key players in the field and understanding their focus areas in higher education.
Evaluate the scalability and impact of these AI-powered solutions on higher education, identifying the startups with the highest potential for broad adoption and transformative impact.
Propose models for collaboration between African universities and EdTech startups, offering pathways for institutions to adopt and integrate AI solutions in a sustainable and impactful manner.
Identify both the challenges and opportunities for scaling AI-powered solutions in African higher education, offering recommendations for overcoming barriers such as infrastructure gaps, funding shortages, and policy constraints.
Role Overview
We are seeking a Support Data Analyst who will assist the Data Analyst and Research Lead in the data collection, processing, and analysis tasks necessary for the Pan-African mapping exercise for the AI Integration in African Universities and AI-Powered Solutions by African EdTech Startups Study. The role involves gathering relevant data, performing preliminary analyses, and contributing to the creation of reports and visualizations. This position is ideal for an individual looking to develop their data analysis skills while contributing to a high-impact project.
Key Responsibilities
Data Collection Support: Assist in the collection of data from various sources, including surveys, interviews, and secondary data sources. Ensure the accuracy and completeness of collected data.
Data Cleaning: Perform initial data cleaning and validation, ensuring that datasets are ready for further analysis by removing duplicates, handling missing data, and ensuring consistency.
Preliminary Data Analysis: Conduct basic statistical analyses and prepare data summaries to support the primary analysis efforts. This may include calculating averages, trends, and other relevant metrics.
Data Entry and Management: Accurately enter data into databases and maintain organized records of all datasets. Ensure that data is stored securely and is easily accessible to the project team.
Support in Visualization: Assist in the creation of charts, graphs, and other visual aids that help in communicating data findings. Work with the Data Analyst to develop visual content for reports and presentations.
Documentation: Maintain detailed documentation of data collection and analysis processes, including any challenges encountered and how they were addressed.
Collaboration: Work closely with the Data Analyst and other team members to ensure that data-related tasks are aligned with the project’s overall objectives.
Learning and Development: Stay informed about new data analysis tools and methods and actively seek opportunities to enhance your skills and knowledge.
Qualifications and Experience
Education: Bachelor’s degree in Data Science, Statistics, Economics, Information Technology, or a related field. Recent graduates with strong data analysis skills are encouraged to apply.
Experience:
Experience in data collection, analysis, or management is preferred, but not mandatory.
Basic proficiency in data analysis tools such as Excel, Python, R, or SQL.
Skills:
Strong attention to detail and accuracy in handling data.
Ability to perform basic statistical analysis and data visualization.
Good organizational skills and the ability to manage multiple tasks simultaneously.
Effective communication skills, both written and verbal.
Ability to work in a team-oriented environment and collaborate with others.
Desirable:
Familiarity with the African startup ecosystem or experience working on projects related to economic development is an advantage.
Start Date: Immediately
Program Duration: From April to November 2025
Location: Remote
Remuneration: TBD
How to Apply:
Interested candidates should submit their detailed CV, cover letter, and a sample of previous research
work to procurement@afrilabs.comm by 18th April 2025. Please note that Interviews will be
conducted on a rolling basis, so we encourage early applications. The position will remain open until it is filled.
Also interested candidate should download and fill the vendor information form