E T Consultant (Data Analyst)

E T Consultant (Data Analyst)

World Bank

September 19, 2026October 21, 2026Washington DcUnited States
Job Description
Job Posting Organization:
The World Bank Group is a prominent global partnership consisting of five institutions dedicated to addressing the most pressing development challenges faced by countries around the world. Established with the mission to end extreme poverty and promote shared prosperity, the organization operates in 189 member countries and has over 130 offices globally. The World Bank Group is recognized as one of the largest sources of funding and knowledge for developing nations, leveraging its extensive resources to invest in innovative projects that utilize data, research, and technology to create sustainable solutions. The organization is committed to fostering collaboration with both public and private sector partners to drive impactful change and improve the quality of life for people in developing regions. For more information about the World Bank Group, visit their official website at www.worldbank.org.

Job Overview:
The E T Consultant (Data Analyst) position is a critical role within the World Bank's Information and Technology Solutions (ITS) Vice Presidential Unit (VPU). This role is designed for individuals who are passionate about utilizing data to support organizational decision-making and drive strategic initiatives. The Data Analyst will be responsible for analyzing various data assets and assisting in the design and execution of data analytics initiatives. This position requires collaboration with stakeholders to develop statistical models, predictive models, and machine learning techniques aimed at solving complex business problems. The Data Analyst will play a vital role in delivering evidence-based solutions that align with the World Bank's mission of ending extreme poverty and promoting sustainable development. The role also involves supporting the development of data governance frameworks and ensuring the quality and integrity of data used in decision-making processes.

Duties and Responsibilities:
The Data Analyst will have a diverse set of responsibilities that include:
  • Supporting analytical services and operational work in core areas of data science, ensuring that data-driven insights are integrated into decision-making processes.
  • Assisting in the development of a comprehensive data governance framework that outlines guidelines for data classification, ownership, and stewardship.
  • Leveraging statistical concepts and theories to help stakeholders identify key operational issues and propose optimal solutions.
  • Collaborating with teams to deliver data, research, and evidence-based solutions that align with institutional directions and strategic vision.
  • Developing data models and managing data processing and cleaning to ensure high-quality data visualization.
  • Supporting the creation of machine learning and AI tools to enhance reasoning and analysis capabilities.
  • Collecting and documenting business requirements, establishing acceptance and evaluation criteria to ensure alignment with roadmap objectives.
  • Helping teams self-organize and self-manage using effective SAFe Agile methods, including preparation for PI planning and tracking team progress.
  • Translating technical analyses into actionable recommendations for programs, policies, and strategies that promote social and economic development. 1
  • Supporting the adoption of innovative concepts and ideas to optimize data solutions within the organization.

Required Qualifications:
Candidates for the E T Consultant (Data Analyst) position should possess a combination of technical and analytical skills. Required qualifications include:
  • Proficiency in business intelligence tools and the ability to design, develop, and maintain BI solutions, including dashboards and analytical tools.
  • Strong data visualization skills, with experience in creating interactive visual representations of complex datasets using platforms like Power BI or Tableau.
  • Expertise in data modeling, ensuring that data structures are optimized for performance and scalability.
  • Knowledge of data science principles, including the application of statistical methods and machine learning techniques to extract insights from large datasets.
  • Proficiency in programming languages such as Python, R, or SQL, with the ability to write clean and maintainable code.
  • Familiarity with Agile methodologies and experience working within Agile frameworks such as Scrum and Kanban.
  • Understanding of data governance principles and the ability to support governance initiatives by adhering to established policies.

Educational Background:
The ideal candidate for this position should have a Bachelor’s or Master’s degree in a relevant field such as Data Science, Computer Science, Statistics, or a related discipline. The educational background should provide a solid foundation in analytical methods, statistical techniques, and data management principles, equipping the candidate with the necessary skills to excel in the role of Data Analyst.

Experience:
Candidates should have at least 2 years of relevant experience in data analysis, data science, or a related field. This experience should include hands-on work with data analytics projects, familiarity with data governance frameworks, and the ability to collaborate effectively with stakeholders to deliver data-driven solutions. Equivalent combinations of education and experience may also be considered.

Languages:
The mandatory language requirement for this position is English. Proficiency in additional languages may be considered a plus, although not explicitly stated as a preferred qualification.

Additional Notes:
This position is a local recruitment opportunity with a term duration of 1 year. The World Bank Group emphasizes its commitment to diversity and inclusion, ensuring that all qualified applicants are considered without discrimination based on gender, religion, race, ethnicity, sexual orientation, or disability. The organization also promotes a culture of empowerment and accountability, encouraging employees to take initiative and hold each other accountable for results. The closing date for applications is set for September 24, 2026, at 11:59 PM UTC.
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