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World Bank Group is seeking an ET Consultant (Data Analyst) to analyze data assets and support organizational decision-making. You will assist in designing data analytics initiatives, develop statistical and predictive models, and collaborate with stakeholders to solve complex business problems using machine learning tools.
The role emphasizes data governance, data processing, and continuous improvement within an Agile SAFe environment, with a one-year term and local recruitment in Washington,
Job #: req38308
Organization: World Bank
Sector: Information Technology
Grade: EC1
Term Duration: 1 year 0 months
Recruitment Type: Local Recruitment
Location: Washington, DC, United States
Required Language(s): English
Closing Date: 9/24/2026 (MM/DD/YYYY) at 11:59pm UTC
Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 130 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.org
The Information and Technology Solutions (ITS) Vice Presidential Unit (VPU) enables the World Bank Group to achieve its mission of ending extreme poverty and boost shared prosperity on a livable planet by delivering transformative information and technologies to its staff working in over 150+ locations. For more information on ITS, see this video: https://www.youtube.com/watch?reload=9&v=VTFGffa1Y7w
The Data Analyst is responsible for analyzing data assets to support organizational decision-making. With guidance, this role assists in the design and execution of data analytics initiatives, supports collaboration with stakeholders, and supports the development of statistical models, predictive models and machine learning techniques to solve complex business problems.