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Data Analyst Graduate Intern Jobs in Washington, DC

AARP

Data Analyst Intern

Washington, DC · On-site

$28/hr

As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team ... Compensation and Benefits The hourly range is $18.40 for undergraduates, $21 for graduate students ...

Air

Data Analyst

Arlington, VA · On-site

... graduate roles or internships, performing national security-related analytics; preference for ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Air

Data Analyst

Arlington, VA

... graduate roles or internships, performing national security-related analytics; preference for ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Air

Data Analyst

Arlington, VA

... graduate roles or internships, performing national security-related analytics; preference for ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

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All JobsData Analyst Graduate Intern JobsData Analyst Graduate Intern Jobs in Washington, DC

Data Analyst Graduate Intern information

See Washington, DC salary details

$13

$25

$47

How much do data analyst graduate intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analyst graduate intern in Washington, DC is $25.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $27.79 per hour, depending on experience, location, and employer.

What types of projects and datasets do data analyst graduate interns typically work with?

As a Data Analyst Graduate Intern, you can expect to work on a variety of projects involving real business data, such as sales trends, customer behavior, or operational metrics. Interns often collaborate with senior analysts and cross-functional teams to clean, analyze, and visualize data, helping to inform business decisions. Projects may range from ad-hoc data requests to supporting ongoing business intelligence initiatives, providing exposure to industry-standard tools like SQL, Excel, and data visualization platforms. This hands-on experience is invaluable for building technical skills and understanding how data-driven insights impact organizational strategy.

What does a data analyst graduate intern do?

A Data Analyst Graduate Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They work under the supervision of experienced analysts, using tools like Excel, SQL, and data visualization software to interpret trends, create reports, and present findings. Interns also help in cleaning and organizing raw data, running basic statistical analyses, and supporting the team on various projects. This role provides hands-on experience and exposure to real-world data problems, making it a valuable stepping stone for a career in data analytics.

What skills and qualifications are needed to thrive as a data analyst graduate intern?

To thrive as a Data Analyst Graduate Intern, you need a solid grounding in statistics, data analysis, and familiarity with data visualization, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency with technical tools like Excel, SQL, Python, or R, and experience with analytics platforms such as Tableau or Power BI are commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital for deriving actionable insights from data, presenting findings clearly, and supporting data-driven decision-making processes.

What is the difference between Data Analyst Graduate Intern vs Data Analyst?

AspectData Analyst Graduate InternData Analyst
QualificationsTypically pursuing or recently completed a degree in data science, statistics, or related fieldUsually holds a degree in a relevant field; may have more experience or certifications
Work EnvironmentInternship setting, often in corporate or tech companies, with supervised tasksFull-time role with more independent responsibilities in data analysis projects
ResponsibilitiesAssisting with data collection, cleaning, and basic analysis under supervisionPerforming data analysis, creating reports, and providing insights independently

The main difference between a Data Analyst Graduate Intern and a Data Analyst lies in experience and responsibility level. Interns are typically in training, assisting with tasks, while Data Analysts are fully responsible for analyzing data and generating insights. Internships serve as a stepping stone toward a full Data Analyst role.

Data Analyst Graduate Intern jobs near you
Infographic showing various Data Analyst Graduate Intern job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $53,016 per year, or $25.5 per hour.

Year-Round Graduate Data Engineer Intern, DATA - R&S

Federal Reserve System

Washington, DC

Full-time, Part-time, Internship

Posted 17 days ago

Job description

Minimum Education
Enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship.
Minimum Experience
0
Summary
The Federal Reserve Board (Board) provides students opportunities for career success. The Board's Internship program is designed to provide valuable work experience for graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board's internship program is granted to U.S. citizens. Applicants must be currently enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.

The Data Architecture, Technology, and Analytics (DATA) section is seeking a graduate intern to support the advancement of key initiatives focused on modernizing the Research & Statistics Division's data environment. This role will provide hands-on experience with data engineering, data transformation, data pipelines, and storage while contributing to ongoing projects that enhance the division's ability to manage and leverage data effectively. The intern will contribute to a range of assignments, including structured data engineering projects and ad-hoc tasks, gaining practical insight into how modern data solutions are developed and implemented in a collaborative environment.

Specific projects/assignments may include:

         Developing data pipelines and machine learning-based analytical tools within an AWS environment.

         Designing and implementing data quality and automation solutions, including data validation processes, workflow automation, metadata management, and reusable scripts to improve the efficiency and reliability of data operations.

         Developing data visualization and analytical products using tools such as Python, SQL, and AWS services to support operational reporting, performance monitoring, and data-driven decision making. This may include creating dashboards, interactive reports, and analytical prototypes for staff.

Education Requirements

         Graduating August 2027 or later

         Currently pursuing a graduate degree in Computer Science, Information Management Systems, Data Analytics, or other related field of study.

Skills/Knowledge Required

         Graduate school level or equivalent Data Analytics background with AWS cloud experience.

         Strong quantitative skills, including programming experience in python, R and other scripting languages for processing numerical and unstructured data.

         Experience in creating complex regular expressions.

         Knowledge of AWS cloud

         Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools (e.g., Excel, Power Bl, python/R graphics lib).

         Excellent oral and written communication skills.

         Excellent organization skills.

Data Science, Data Engineering, Data Pipeline Development, Python and Database experience is preferred but not required.

This internship will be part-time during fall/spring semesters (no more than 20 hours per week) and full-time in the summer. The selected candidate will be required to be onsite at our offices in Washington, DC during the summer.

Required Documents: Resume; an unofficial transcript may be requested.

US Citizenship is required for all Board internships and applicants must be current students, graduating from their program August 2027 or later.

Apply