
Fall 2025 Data Analysis Intern- Unpaid
International Rescue Committee
- Atlanta, GA
- Training
- Part-time
The Data Analysis Intern will report to the Grant Compliance and Data Coordinator and work closely with programs to help streamline data from multiple platforms and reports into user-friendly dashboards using Power BI and other platforms. This role also includes reviewing key documents and agreements to support compliance with organizational and donor requirements.LEARNING OBJECTIVES:
- Gain hands-on experience with data visualization tools, especially Power BI.
- Understand compliance frameworks and documentation review processes in a non- profit context.
- Develop problem-solving and communication skills within a global, multicultural organization.
- Collect, organize, and consolidate data from various sources (e.g., internal databases, Excel sheets, program reports).
- Design and maintain clear, intuitive dashboards in Power BI to support internal monitoring and decision-making.
- Support data cleaning and transformation to ensure accuracy and usability.
- Review grant agreements, partnership documents, and reports for completeness and compliance with IRC and donor policies.
- Assist in identifying inconsistencies or gaps in data and documentation.
- Collaborate with team members to improve reporting processes and standardize data management practices.
- Participate in regular team meetings and contribute to ongoing projects.
- Current student or recent graduate in Data Science, Statistics, Economics, International Development, or a related field.
- Experience with Microsoft Excel and Power BI required (intermediate to advanced level).
- Detail-oriented with strong analytical and organizational skills.
- Excellent written and verbal communication.
- Ability to handle sensitive information with confidentiality.
- Interest in humanitarian work and IRC's mission.
- Experience working with large data sets or multiple data sources.
- Familiarity with compliance or grant management is a plus.
- Ability to work independently and collaboratively in a remote or hybrid setting.