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The Data Analyst supports organizational decision-making by analyzing data assets and developing statistical, predictive, and machine learning models. They also collaborate with stakeholders to define business requirements and implement data governance frameworks.
Candidates must possess a bachelor's or master's degree with at least 2 years of relevant experience. Proficiency in data science tools, programming languages, and Agile methodologies is required.
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 |
| Preferred Language(s): | |
| Closing Date: | 9/24/2026 (MM/DD/YYYY) at 11:59pm UTC |
Description
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.
Key Responsibilities:
Analytics Integration
1. Supports analytical services or operational work in core areas of data science.
2. Assists with the development of a data governance framework that includes clear guidelines for data classification, ownership, and stewardship.
3. 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
1. Supports the delivery of data, research and evidence-based solutions for institutional directions and strategic vision.
2. Collaborates to develop data solutions and market knowledge and ensure continuous processes improvements.
3. Assists with the development of data models and manages data processing and cleaning, supporting quality assurance and data visualization.
4. Supports the development of machine learning and AI tools to accelerate reasoning and analysis to support decision making.
Business Analysis:
1. Collects and documents business requirements, including establishing acceptance and evaluation criteria
2. Defines configuration specifications and business requirements to ensure alignment with roadmap objectives
Agile:
1. Helps teams self-organize, self-manage, and deliver via effective SAFe Agile methods
2. Assist in the preparation process for PI planning, and drafts PI plans in coordination with the Agile team
3. Tracks team progress and utilize metrics to identify areas for enhancement
Communication and Narrative
1. Help translate technical analyses in core areas of data science into recommendations for programs, policies, and strategies for social and economic development.
2. Supports the adoption and suggestion of new concepts and ideas to from inside and outside the organization to optimize data solutions.
Selection Criteria
Education and Experience:
Bachelor’s or master’s degree with 2 years of experience or equivalent combination of education and experience
Core Competencies:
Technical Competencies
1. Business Intelligence (Skilled) Designs, develops, and maintains BI solutions including dashboards, reports, and analytical tools. Translates business requirements into technical specifications and delivers actionable insights to support decision-making across the organization.
2. Data Visualization (Skilled) Builds clear, compelling, and interactive visual representations of complex datasets using tools such as Power BI, Tableau, or similar platforms. Tailors visualizations to audiences need to effectively communicate trends and insights.
3. Data Modeling (Skilled) Designs and implements conceptual, logical, and physical data models. Ensures data structures are optimized for performance, scalability, and alignment with business requirements.
4. Data Science (Skilled) Applies statistical methods, machine learning techniques, and analytical frameworks to extract meaningful patterns from large datasets. Translates analytical findings into practical recommendations for business stakeholders.
5. Machine Learning (Skilled) Develops, trains, and evaluates machine learning models for classification, regression, clustering, and prediction tasks. Familiar with model lifecycle management including validation, deployment, and monitoring.
6. Programming / Coding (Skilled) Hands on in one or more programming languages such as Python, R, SQL, or similar. Writes clean, maintainable, and well-documented code to support data pipelines, analytics workflows, and application development.
7. Agile Methodologies (Skilled) Works effectively within Agile frameworks including Scrum and Kanban. Participate actively in sprint planning, retrospectives, and iterative delivery cycles to ensure timely and high-quality outputs.
8. Artificial Intelligence (AI) (Skilled) Understands and applies AI concepts and tools including natural language processing, computer vision, and generative AI. Evaluates AI solutions for fit, ethical use, and organizational impact.
9. Business Intelligence (Awareness) Understands the purpose and value of BI tools and reporting platforms. Able to consume and interpret BI outputs and contribute to requirements gathering for BI initiatives.
10. Data Warehousing (Awareness) Familiar with data warehouse concepts including ETL processes, dimensional modeling, and data lake architectures. Understands how data warehouses support enterprise reporting and analytics needs.
11. Data Governance (Awareness) Familiar with data governance principles including data quality, data stewardship, metadata management, and compliance. Supports governance initiatives by adhering to established policies and standards.
12. Business Requirements Analysis (Skilled) Elicits, documents, and validates business requirements through stakeholder engagement, workshops, and structured interviews. Translates business needs into clear functional and technical specifications, ensuring alignment between business objectives and delivered solutions.
13. Agile Methodologies (Skilled) Works effectively within Agile frameworks including Scrum and Kanban. Participates actively in sprint planning, retrospectives, and iterative delivery cycles to ensure timely and high-quality outputs. Experienced in supporting Scrum Master responsibilities including facilitating daily stand-ups, removing impediments, and fostering a culture of continuous improvement within the team.
Business Competencies
1. Analytical Reasoning (Skilled) Synthesizes complex information from multiple sources to draw well-reasoned conclusions. Applies structured thinking to break down ambiguous problems and develop evidence-based solutions.
2. Problem-Solving (Skilled) Identifies root causes of complex challenges and develops practical, innovative solutions. Proactively addresses obstacles and adapts approaches based on evolving information and constraints.
3. Critical Thinking (Skilled) Evaluates information objectively, questions assumptions, and assesses the validity of data and conclusions. Applies logical reasoning to make sound judgments in ambiguous or high-stakes situations.
Recommended Certifications:
1. Microsoft Certified: Power BI Data Analyst Associate
2. SAFe Practitioner
3. Databricks Certified Data Analyst Associate
1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders.
2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact.
3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.
World Bank Group Core Competencies
As per WBG policy, an Extended Term (ET) appointment is subject to a lifetime maximum of three (3) years. Former and current ET staff who have completed or are in the process of completing their third-year ET appointment are not eligible for future ET appointments.
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
Learn more about working at the World Bank and IFC including our values and inspiring stories.
The World Bank is a vital source of financial and technical assistance to developing countries around the world. Our vision is to create a world free of poverty on a livable planet. We are not a bank in the common sense; we are made up of two unique development institutions owned by 189 member countries: the International Bank for Reconstruction and Development (IBRD) and the International Development Association (IDA). Each institution plays a different but collaborative role in advancing the vision of inclusive and sustainable globalization. The IBRD aims to reduce poverty in middle-income and creditworthy poorer countries, while IDA focuses on the world's poorest countries. Their work is complemented by that of the International Finance Corporation (IFC), Multilateral Investment Guarantee Agency (MIGA) and the International Centre for the Settlement of Investment Disputes (ICSID). Together, we provide low-interest loans, interest-free credits and grants to developing countries for a wide array of purposes that include investments in education, health, public administration, infrastructure, financial and private sector development, agriculture and environmental and natural resource management.
Offices: 1818 H Street, NW, Washington, DC 20433, US
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