Applications are now open for the World Bank Government Analytics Fellowship 2027, an international professional development opportunity for government officials seeking to improve public administration through data-driven decision-making.
The fellowship helps participants transform government administrative data into practical insights and develop projects that address real institutional challenges. Participants from ODA-eligible countries selected for the in-person component can receive travel, hotel accommodation, and subsistence support from the World Bank.
The World Bank Government Analytics Fellowship aims to strengthen government officials’ ability to use administrative records and survey data to improve public institutions’ performance.
For eligible participants selected for the in-person component, the World Bank covers:
- Travel expenses.
- Hotel accommodation.
- Subsistence expenses during the Washington, D.C., course.
Fellows learn from experts behind the Government Analytics Handbook, receive guidance on developing practical analytics projects, and connect with an international network of public servants, academics, and data professionals.
The fellowship offers three formats:
- Online Track: A self-paced virtual learning experience.
- Immersive In-Person Track: A competitive six-month program involving project development and approximately two weeks of in-person training in Washington, D.C., in March 2027.
- Regional Hub Track: Localized fellowship opportunities organized around regional hubs.
To apply for the Government Analytics Fellowship 2027, candidates must:
- Be nominated by their organization, with a maximum of two fellows permitted per organization.
- Be employed by a central government organization, including a government agency.
- Hold a mid-level management or senior analyst position, or an equivalent role.
- Have institutional support and the authority to develop a government analytics project.
- Have completed tertiary-level coursework in statistics or related quantitative methods.
- Demonstrate proficiency in English.
Applicants must prepare the following documents in English and PDF format:
- CV: A comprehensive résumé of no more than three pages.
- Project Summary: A 150-word description of the proposed government analytics project.
- Organizational Endorsement Letter: A letter nominating the applicant, confirming their position, and demonstrating institutional support for the fellowship and proposed project.
Apply through this link:
Author
Paul Olayioye
