Overview
The intern will support statistical data compilation and analysis, economic data management and harmonization, and research assistance for policy-oriented analytical work within the African Centre for Statistics.
Key Responsibilities
- Profile use cases for emerging data sources and evaluate their suitability for addressing data gaps.
- Assist in compiling metadata from various national and international statistical websites.
- Support the ongoing comparability of African development indicators across different databases.
- Contribute to the creation of statistical tools to automate analytical processes.
- Provide insights on emerging tools for modern visualization of statistical results.
- Prepare statistical summaries, including methods and key findings.
Required Experience
- Applicants to the United Nations Internship Programme are not required to have professional work experience.
- Familiarity with statistical and data-processing tools, particularly R or Python, and experience working with quantitative datasets, including cross-sectional, time-series, panel datasets.
- Experience collecting, cleaning, validating, and organizing quantitative data from multiple sources for analytical use.
- Experience supporting applied research, preparing concise analytical summaries, and clearly documenting methods and findings.
- Experience producing clear data visualizations or dashboards to communicate analytical findings effectively.
Qualifications
- be enrolled in, or have completed, a graduate school programme (second university degree or equivalent, or higher);
- be enrolled in, or have completed, the final academic year of a first university degree programme (minimum bachelor’s degree or equivalent).
Completion of a master’s degree or enrolment in a Ph.D. program in a development-related field are strongly desirable.
Applicants must be either in the final year of a first university degree programme (bachelor’s or equivalent), enrolled in a master’s or Ph.D. programme (or equivalent), or have completed a bachelor’s, master’s, or Ph.D. programme.
