Policy and Data Analysis Intern

Overview

Position Summary:

The Policy and Data Analysis Intern will support the development, evaluation, and documentation of organizational policies and data-driven initiatives. This internship is designed for students pursuing academic credit and offers meaningful, project-based experience in nonprofit operations, compliance, and performance evaluation.

Key Responsibilities:

Assist in drafting, reviewing, and formatting organizational policy documents and manuals.
Support data collection, cleaning, and analysis for performance improvement projects
Conduct research on regulatory standards, industry best practices and policy models to support compliance and quality improvement efforts.
Support the preparation of internal reports, infographics, dashboards, and presentations for leadership and stakeholders.
Track policy revision schedules and version control documentation.
Participate in CQI (Continuous Quality Improvement) and compliance-related meetings as needed.

Qualifications:

Currently pursuing or recently completed a degree in Public Policy, Public Administration, Social Work, Data Science, Statistics, Public Health, or related field.
Must be eligible to receive college credit for the internship
Strong research, writing, and critical thinking skills.
Proficient in Microsoft Excel and/or data visualization tools (e.g., Power BI) preferred.
Ability to handle confidential information with integrity.
Excellent attention to detail, organization, and communication skills.
Ability to work independently and manage multiple tasks.
Interest in nonprofit or community-based work is a plus.

Schedule & Duration:

Minimum 10–15 hours per week
Flexible scheduling to accommodate class commitments
Internship duration: One academic semester (may be extended based on performance and availability)

Learning Outcomes:

Gain hands-on experience in policy development and organizational governance.
Develop analytical skills by working with real-world program data and compliance frameworks.
Understand how data supports strategic planning, funding, and quality improvement.
Build experience in cross-departmental collaboration within a mission-driven organization.