Summer Intern, Data Analytics; Reston, VA or Remote

The Data Analytics Intern will transform data into insights that support business decisions. During this 10-week program, the intern will complete a defined analytics project while collaborating with analysts, engineers, and business stakeholders. This is a full-time, 10-week internship that will begin in early June 2027. This role will be hybrid (2x per week) from Reston, VA or may allow for flexible remote work from anywhere in the US.

At this time, relocation or housing assistance is not available. Pay is expected to be $23/hour for undergraduate interns. Or $28/hour for graduate interns.

• Gather and clarify business questions and reporting requirements.
• Query, clean, validate, and analyze data from enterprise systems.
• Identify trends, patterns, risks, and opportunities within datasets.
• Develop dashboards, visualizations, or analytical reports.
• Define and document metrics, assumptions, and data sources.
• Communicate findings through concise narratives and presentations.
• Participate in team meetings, peer reviews, and stakeholder discussions.
• Present final insights and recommendations at the end of the internship.

• A minimum of 30 college credit hours complete in data analytics, statistics, economics, business analytics, computer science, mathematics, information systems, or a related field.
• Due to contract requirements, U.S. Citizenship or Permanent Work Authorization is required.

• A completed bachelor’s degree and enrollment verification or 9 credit hours completed in a master’s program in data analytics, statistics, economics, business analytics, computer science, mathematics, information systems, or related fields.
• Academic, project, or internship experience with data modeling, SQL and data analysis.
• Familiarity with a visualization tool such as Power BI, Tableau, or Looker.
• Strong critical-thinking, communication, and storytelling skills.
• Attention to detail and an interest in solving business problems with data.
• Ability to work effectively with both technical and nontechnical colleagues.
• Experience with Python, R, Excel, statistical analysis, or data visualization.
• Familiarity with data quality, KPI development, experimentation, or forecasting.
• Experience gained through coursework, research, case competitions, personal projects, or prior internships.

Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world’s toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.

Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read ourEEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process.

To request an accommodation, please email

Candidateaccommodationand we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or…