E T Consultant (Data Analyst)

World Bank Group

Washington

On-site

USD 80,000 - 110,000

Full time

10 days ago
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Job summary

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,

Qualifications

  • Experience in designing and executing data analytics initiatives.
  • Ability to develop statistical and predictive models and apply ML techniques.
  • Familiarity with data governance concepts and data quality practices.

Responsibilities

  • Analyze data assets to support organizational decisions.
  • Develop data models and perform data processing and cleaning for quality assurance and visualization.
  • Gather and document business requirements and establish acceptance criteria.
  • Support Agile SAFe practices and assist PI planning activities.
  • Translate complex technical information for stakeholders and ensure clear communication.

Skills

Data analysis
Statistical modeling
Machine learning
Data visualization
Stakeholder collaboration
Agile/Safe

Job description

E T Consultant (Data Analyst)

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

ITS Vice Presidency Context

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

Role purpose

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.

Analytics Integration
  • Supports analytical services or operational work in core areas of data science.
  • Assists with the development of a data governance framework that includes clear guidelines for data classification, ownership, and stewardship.
  • Leverages statistical concepts, practice, and theory, and knowledge of probabilities to support stakeholders in identifying key operational issues and optional solutions.
Solutions Design and Implementation
  • Supports the delivery of data, research and evidence-based solutions for institutional directions and strategic vision.
  • Collaborates to develop data solutions and market knowledge and ensure continuous processes improvements.
  • Assists with the development of data models and manages data processing and cleaning, supporting quality assurance and data visualization.
  • Supports the development of machine learning and AI tools to accelerate reasoning and analysis to support decision making.
Business Analysis
  • Collects and documents business requirements, including establishing acceptance and evaluation criteria
  • Defines configuration specifications and business requirements to ensure alignment with roadmap objectives
Agile
  • Helps teams self-organize, self-manage, and deliver via effective SAFe Agile methods
  • Assist in the preparation process for PI planning, and drafts PI plans in coordination with the Agile team
  • Tracks team progress and utilize metrics to identify areas for enhancement
Communication and Narrative
  • Help translate techni
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