Data Intern
Turn programme, event and community data into clear insights that help teams make better decisions.
Role Track
Data
The Role
What you'll do
We are looking for a curious, analytical, and detail-oriented Data Intern who understands that data is only valuable when it helps people make better decisions.
At Builders’ Tribe, we work with founders, startups, investors, technology professionals, ecosystem partners, and communities across Africa and the MENA region. As we grow, we need someone who can help us turn information from our programmes, events, community activities, partnerships, and internal operations into meaningful insights.
This role is for someone who enjoys working with numbers, spotting patterns, organising information, and asking the right questions. You'll support data collection, cleaning, analysis, reporting, and visualisation to help different teams understand what is working, what needs improvement, and where opportunities exist.
You don't need to know everything from day one, but you should be comfortable exploring datasets, using analytical tools, learning independently, and communicating findings in ways that even non-technical team members can understand.
Core Responsibilities
Your day-to-day
Tap any area to see what the work looks like in practice.
- Collect, organise, and maintain data from Builders’ Tribe programmes, events, partnerships, community activities, and internal operations.
- Develop and maintain structured databases, spreadsheets, and data trackers.
- Ensure data is accurate, complete, consistent, and properly documented.
- Support the development of efficient processes for collecting and managing information.
Success Metrics
How we'll measure impact
- Accuracy, completeness, and consistency of datasets.
- Timely completion of assigned data analysis and reporting tasks.
- Quality and clarity of dashboards, reports, and visualisations.
- Ability to identify meaningful trends and actionable insights.
- Efficiency in organising, cleaning, and maintaining data.
- Contribution to improving data collection and reporting processes.
- Quality of research and data-backed recommendations.
- Proper documentation and responsible handling of organisational data.
Who we're looking for
The right fit
Must-Have
- A laptop
- Good understanding of basic data analysis concepts and techniques.
- Proficiency in Microsoft Excel or Google Sheets, including formulas, filtering, sorting, and data organisation.
- Ability to clean, organise, and interpret datasets.
- Basic knowledge of data visualisation and reporting.
- Strong analytical thinking and problem-solving skills.
- Attention to detail and commitment to data accuracy.
- Ability to communicate findings clearly and understandably.
- Willingness to learn new tools and work independently in a remote environment.
Nice-to-Have
- Familiarity with SQL for querying and managing data.
- Experience with Python or R for data analysis.
- Knowledge of Power BI, Tableau, Looker Studio, or similar visualisation tools.
- Experience building dashboards or automating spreadsheet workflows.
- Familiarity with survey tools such as Google Forms or Typeform.
- Understanding of basic statistics and performance measurement.
- Experience working with CRM, marketing, community, or event datasets.
- Familiarity with data privacy, data protection, and responsible data handling.
- Previous personal, academic, or professional data analysis projects.
Competencies that matter
Skills you'll sharpen
- Analytical thinking – You enjoy looking beyond numbers to understand what they actually mean.
- Attention to detail – You recognise that inaccurate data can lead to poor decisions.
- Problem-solving – You can identify inconsistencies, investigate issues, and find practical solutions.
- Curiosity – You don't just report what happened; you want to understand why it happened.
- Communication – You can explain complex findings in ways that make sense to people who don't work with data.
- Ownership mindset – You take responsibility for the accuracy, quality, and usefulness of your work.
- Resourcefulness – You can explore unfamiliar tools, research solutions, and figure things out independently.
- Collaboration – You understand how to work with different teams to collect information and provide useful insights.
- Integrity – You handle information responsibly and do not manipulate findings to produce a preferred outcome.
This isn't for you if…
- You don’t have a laptop
- You think data analysis is simply entering numbers into spreadsheets.
- You dislike working with detailed information or checking for errors.
- You are comfortable presenting findings without verifying their accuracy.
- You struggle to explain what your analysis actually means.
- You prefer waiting for detailed instructions rather than exploring problems independently.
- You are unwilling to learn new analytical tools or improve your technical skills.
- You don't enjoy asking questions or investigating patterns.
- You treat sensitive or confidential information carelessly
Your growth path
Data Intern → Junior Data Analyst → Data Analyst → Senior Data Analyst → Data & Insights Lead
Application
Apply for the Data internship
If you enjoy working with data, spotting patterns and turning numbers into decisions people can act on, we'd love to hear from you.
Ready to apply?
Click below to open the application form. It takes about 5–10 minutes.
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