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Intern – Minigrid Innovations Lab Job CrossBoundary
IT Jobs, CrossBoundary Jobs.
What you will do
CrossBoundary’s Minigrid Innovation Lab is recruiting a Data Analytics Intern to support the Lab’s data-driven evaluation of prototype innovations.
This is a technical role focused on cleaning, structuring, analyzing, and visualizing large operational datasets from mini-grid sites across Africa. The intern will work closely with the Lab team to translate raw data into actionable insights that inform business model improvements and sector publications.
This is not a traditional advisory or transaction role — it is a hands-on data analytics position embedded within an innovation and R&D environment.
Responsibilities
- Clean, structure, and analyze large datasets (e.g., smart meter data, site-level operational data, revenue data exports)
- Develop Python scripts to automate recurring data cleaning and aggregation workflows
- Conduct time-series analysis to assess site performance (e.g., consumption growth, uptime, load profiles, revenue trends)
- Support cross-site performance comparisons and prototype impact assessments
- Identify anomalies, trends, and patterns in operational data
- Develop visualizations and dashboards to communicate findings clearly
- Support the preparation of data-driven insights for donor reports, internal memos, and sector publications
- Contribute to strengthening the Lab’s internal data infrastructure and analytical tools
Required Technical Skills:
- Python (Intermediate to Advanced)
- Strong experience with Pandas (data cleaning, merging, grouping, aggregations)
- Experience with NumPy (numerical computations and array operations)
- Experience handling and analyzing large CSV datasets
- Experience conducting time-series data analysis (resampling, rolling averages, trend analysis)
- Strong data cleaning skills
- Proficiency in Excel (formulas, structured sheets)
- Basic data visualization skills (Matplotlib / Plotly or similar)
Who you are
- Self-starter who is passionate about creating lasting change in underserved markets
- Takes on new types of work, even without prior experience/direct supervision
- Passionate about using data to improve energy access and climate solutions
- Highly analytical and detail-oriented
- Comfortable working with messy, real-world datasets
- Able to operate independently and manage structured deliverables
- Able to communicate technical findings clearly and succinctly
How to Apply
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