WBG Pioneer - Data Analyst/Engineer Intern

The WBG Pioneer internship offers undergraduate and postgraduate students a high-impact learning experience at the World Bank Group. Interns will gain hands-on exposure to managing environmental and social risk, complaints, and incident tracking across the Bank's global project portfolio, building skills in data engineering, AI/ML, and reporting.

Responsibilities

• Support the design and maintenance of data pipelines and dashboards (e.g., Power BI) drawing from CRM and other defined data sources.
• Assist in data cleaning, transformation, and validation to ensure accuracy of reporting on E&S cases and metrics.
• Help build and refine reports and visualizations for internal stakeholders, including Row-Level Security (RLS) configurations where relevant.
• Support ad hoc data requests and analysis to inform product and business decisions.
• Document data definitions, sources, and refresh processes.

Requirements

• Pursuing or recently completed a graduate degree (preferred) in Data Analytics/Science, Computer Science, Statistics, Data Engineering, Information Systems, or a related quantitative field; strong undergraduate candidates with relevant project experience will also be considered.
• Candidates must have 1–6 years of relevant professional experience.
• Familiarity with Agile/Scrum concepts and practices is a plus.
• Working knowledge of SQL and data visualization tools (Power BI preferred); familiarity with Dynamics CRM data structures is a plus.
• Basic understanding of data pipeline/ETL concepts.
• Strong problem-solving skills and ability to communicate technical findings clearly.
• Strong attention to detail and ability to work with large, sometimes messy, datasets.
• Prior exposure to real-world datasets or applied projects is a plus.
• Demonstrated interest in development work and the World Bank Group’s mission.
• Strong analytical, research, and problem-solving skills.
• Effective written and verbal communication skills.
• Proficiency in English.

Skills

• Data Analytics
• Data Science
• Computer Science
• Statistics
• Data Engineering
• Computer Information Systems
• SQL
• Power BI
• Data Visualization
• Agile
• Scrum
• Data Pipeline
• ETL
• Problem Solving
• Technical Communication
• Data Analysis
• Research
• Environmental and Social Risk Management
• AI/ML Integration
• Reporting

Languages

English