Fully Funded to Washington, D.C.: Apply for the World Bank Government Analytics Fellowship Program 2027. This six-month programme helps government professionals use data analytics to strengthen public services, policymaking and institutional performance.
Background & Job Description
The World Bank Government Analytics Fellowship is a six-month professional development programme designed to help public sector officials use data to improve governance and public administration.
The initiative involves the World Bank and University College London (UCL), alongside other institutional partners. It combines training, mentorship and a practical government analytics project.
The programme includes two weeks of in-person activities in Washington, D.C., followed by continued support as fellows develop and implement projects within their institutions.
Tasks and Responsibilities
Selected fellows will be expected to develop and implement a Government Analytics project aligned with their institution’s objectives and national priorities.
The programme supports participants in strengthening data-informed decision-making, improving public service delivery, evaluating programmes and promoting more efficient and accountable government operations.
Qualifications and Experience
The fellowship is intended for:
- Public sector professionals employed by national or sub-national governments.
- Government officials working in policy evaluation, budgeting, service delivery, civil service reform or digital transformation.
- Professionals committed to improving government operations through data and innovation.
- Applicants with exposure to data analysis or programme evaluation.
Extensive technical experience is not stated as a requirement in the published announcement. Applicants should review the official eligibility criteria before applying.
Additional Information
- Programme: World Bank Government Analytics Fellowship
- Year: 2027
- Duration: Six months
- In-person location: Washington, D.C., United States
- Application deadline: November 16, 2026
- Funding: Travel, accommodation and daily subsistence for the in-person component are covered for applicants from Official Development Assistance (ODA)-eligible countries, according to the announcement.
- Additional benefits: Training, expert mentorship and opportunities for global collaboration.
The programme start dates will be communicated to selected participants.
How to Apply
Interested candidates should review the programme information and submit their application and supporting documents through the official World Bank application portal.
Official opportunity information: World Bank Government Analytics Fellowship
Check the official programme page for the application portal, eligibility requirements, supporting documents and any further instructions before submitting your application.
Frequently Asked Questions
1. What is the World Bank Government Analytics Fellowship?
It is a six-month programme that helps government professionals use data and analytics to improve policymaking and public administration.
2. Is the fellowship fully funded?
The published announcement states that applicants from ODA-eligible countries receive coverage for major expenses associated with the in-person component, including travel, accommodation and daily subsistence. Confirm the exact funding terms in the official guidance.
3. Who can apply?
The fellowship targets public sector professionals working in national or sub-national government, particularly those involved in policy, budgeting, service delivery and government reform.
4. What is the application deadline?
The deadline is November 16, 2026.
5. Where will the in-person training take place?
The in-person component will take place in Washington, D.C., United States.
6. Do applicants need advanced data analytics experience?
The announcement encourages applicants with prior data analysis or programme evaluation experience but does not state that extensive technical experience is required.
Disclaimer: Opportunities Feed shares fellowship announcements for informational purposes only and is not affiliated with the World Bank or University College London. Applicants should verify eligibility, funding terms and application instructions through official programme channels.
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