Government Analytics Fellowship

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Brief Description:

The World Bank Government Analytics Fellowship Program is a pioneering initiative designed to bridge the gap between the vast, yet underutilized, data resources held by governments and the potential for enhanced public administration efficiency through data-informed decision-making.

Leveraging insights from the Government Analytics Handbook and supported by World Bank experts and academics, the Fellowship offers frontier evidence and practitioner insights to enhance government efficiency. The Fellowship is a collaboration between the World Bank Development Economics Vice-Presidency (DEC) and the Governance Global Practice (GGP).

The fellowship will comprise a mix of in-person training and in-service support from senior experts at the World Bank and University College London to develop a Government Analytics project.

The fellowship spans 6 months, with a concentrated full-time commitment during the 2 weeks of in-person training in Washington, D.C., which includes the Public Administration Forum and Government Analytics course.


  • Gain Data-Driven Insights and expertise to harness vast amounts of governmental data, translating it into actionable insights for smarter decision-making and policy development.
  • Catalyze Change in your Government with cutting-edge research and expert support to implement systemic changes in your government’s operations.
  • Join a Collaborative Network of like-minded government officials, data experts, academics, and professionals.


To be considered for the Government Analytics Fellowship, applicants must be:

  • Able to travel to Washington DC between May 27 to June 7.
  • Nominated by their organizations (Up to 2 fellows per organization).
  • Working in central government organizations (including agencies).
  • Mid-level managers or senior analyst positions (or equivalent) with authority to develop a government analytics project.
  • Able to demonstrate prior tertiary-level coursework on statistics or related quantitative methods.
  • Proficient in English.

Apply here:

Application form

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