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Internship Jr Data Analyst Jobs in Reston, VA (NOW HIRING)

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · Hybrid

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

KBR, Inc.

Jr Cost Analyst

Mclean, VA · On-site

$98K - $146K/yr

Jr Cost Analyst Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides ... Ability to collect and normalize data and design cost estimating methods and models * Develop life ...

KBR

JR Cost Analyst

Chantilly, VA · On-site

$92K - $102K/yr

JR Cost Analyst Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides ... Ability to collect and normalize data and design cost estimating methods and models * Develop life ...

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All JobsJr Data Analyst JobsInternship Jr Data Analyst JobsInternship Jr Data Analyst Jobs in Reston, VA

Internship Jr Data Analyst information

See Reston, VA salary details

$12

$23

$43

How much do internship jr data analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship jr data analyst in Reston, VA is $23.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.53 per hour, depending on experience, location, and employer.

What are some typical projects or tasks an Internship Jr Data Analyst might work on during their internship?

As an Internship Jr Data Analyst, you can expect to work on a variety of projects such as cleaning and organizing large datasets, building basic reports and dashboards, and assisting with data visualization efforts. You'll often support senior analysts by preparing data for analysis, running queries, and helping to identify trends or patterns. Collaboration with team members from other departments, such as marketing or operations, is common as you provide insights or help answer business questions. This hands-on experience is valuable for developing your technical skills and understanding how data-driven decisions are made within an organization.

What are the key skills and qualifications needed to thrive as an Internship Jr Data Analyst?

To thrive as an Internship Jr Data Analyst, a solid understanding of statistics, data cleaning, and foundational knowledge of data analysis—often gained through coursework in mathematics, computer science, or a related field—is essential. Familiarity with tools like Microsoft Excel, SQL, and introductory programming languages such as Python or R, as well as experience with data visualization software, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These competencies are crucial for producing accurate analyses, supporting business decisions, and contributing positively to team projects in a fast-paced environment.

What does an Internship Jr Data Analyst do?

An Internship Jr Data Analyst assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of senior analysts, learning how to use various data analysis tools and software. Interns may be involved in creating reports, visualizing data, and supporting ongoing projects. This role provides hands-on experience and helps interns develop practical skills in data management and analytics.

What is the difference between Internship Jr Data Analyst vs Data Analyst?

AspectInternship Jr Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a related degree; no extensive certifications neededBachelor's degree in data-related field; certifications like SQL, Excel, or data analysis tools are common
Work EnvironmentInternship setting, often in a corporate or tech company, supervised by senior staffFull-time professional role, often in teams handling data projects independently or collaboratively
Employer & Industry UsageUsed by companies for training and entry-level talent development in industries like finance, tech, marketingFull-fledged role in various industries including finance, healthcare, marketing, and technology

The main difference between an Internship Jr Data Analyst and a Data Analyst is the experience level and scope of responsibilities. Internships are designed for learning and gaining initial exposure, while Data Analysts handle more complex data tasks independently. Interns often work under supervision, whereas Data Analysts operate as part of a professional team with greater autonomy.

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Internship Jr Data Analyst jobs near you

Student Data Analyst III_On-Campus FWS

GW Student Employment Center for Career Services

Washington, DC • On-site, Remote

$19.40/hr

Full-time

Posted 25 days ago

Job description

Position Details
Position Information
Fill out your application carefully and completely, including attaching the correct documents as requested. You will NOT be able to withdraw and reapply if you make a mistake.
Positions may close unexpectedly if they reach a high number of applicants. It is in your best interest to apply promptly to any positions that interest you.
If this position title includes the label On-Campus FWS or Off-Campus FWS, it is for students with a Federal Work Study (FWS) award for the current school year ONLY. Applicants to these positions will be required to verify this by attaching their FWS Program Student Statement as a required document. Do not apply unless you meet this criterion.
Position Title
Student Data Analyst III_On-Campus FWS
Level of Support
Student Support III
Position Type
On-Campus FWS
Number of Openings
1
Work Hours
During Standard Business Hours (M-F 8am-5pm)
Wage Per Hour
19.40
Division/School
Office of the Vice President for Research
Department Name
110112 OVPR - ADMINISTRATION
Department Bio
Position Specific Summary
This position will be trained to contribute to the team in the Office of the Vice Provost for Research (OVPR) by supporting the work of the Data Analyst, Applications Administrator and Director of Operations. The student will play a crucial role in supporting the research initiatives of the university's research department. The primary responsibilities of this position is to analyze and interpret various datasets, enter data to set up sponsor organization requests, and support department events. The student will collaborate with team members to ensure data accuracy, design effective data collection methods, and present findings in a clear and understandable manner. The student may also have the opportunity to manage projects and support administrative functions.
The student will perform a range of data analysis, visualization, quality assurance, data entry, project coordination, and administrative duties, including but not limited to:
  • Create routine and ad hoc reports reflecting sponsored project metrics.
  • Analyze annual reports and datasets to identify historical trends and insights.
  • Verify data quality and accuracy.
  • Develop and maintain Standard Operating Procedure (SOP) documentation.
  • Support OVPR systems and related processes including, but not limited to, responding to user and sponsor requests.
  • Create clear and visually effective data visualizations (charts, graphs, etc.) to communicate findings.
  • Assist with planning, coordinating, and executing OVPR projects, meetings, events, and related administrative activities.
  • Perform other related duties as assigned in support of senior staff.

Working Conditions: The student will primarily work within the OVPR department. The position may involve working with confidential or sensitive data, requiring adherence to data protection and privacy protocols. The role may include both independent work and participation in team discussions or meetings.
Professional Outcomes: Within OVPR, you will have the opportunity to work on a variety of projects that contribute to the advancement of knowledge of GW research operations. Your role will involve managing projects and events, collecting, analyzing, and interpreting data to support research initiatives and decision-making within the department. Here are some potential professional outcomes you can expect:
  • Data Analysis Skills: You'll develop strong data analysis skills using software tools. You'll learn to clean and preprocess data, perform exploratory data analysis, apply statistical methods, and generate insights from research datasets.
  • Collaboration: You'll collaborate with OVPR team members. This experience will enhance your teamwork, communication, and project management skills as you work together to achieve common research goals.
  • Technical Proficiency: Through hands-on experience with data manipulation, visualization, and modeling, you'll become proficient in using various data analytics tools and techniques. This technical expertise will be valuable in your future career, regardless of the industry.
  • Problem-Solving: As you encounter diverse datasets and research questions, you'll develop strong problem-solving skills. You'll learn how to adapt analytical approaches to different scenarios and devise creative solutions to challenges that arise during data analysis.
  • Professional Network: Through your interactions with staff, faculty, and fellow students, you'll expand your professional network. Building relationships within academia can open doors to future collaborations, internships, or job opportunities.
  • Resume Building: Potential employers, whether in academia or industry, value candidates with practical data analysis experience and a demonstrated ability to contribute meaningfully to research project support.
  • Preparation for Further Studies or Career: The skills and knowledge you gain can serve as a foundation for pursuing graduate studies or transitioning to various roles within academia, research institutions, industry, or even consulting firms.

Remember that the specific outcomes can vary based on the nature of the research operations projects you're involved in and the department's focus. We look forward to working with you to make the most of your time in this role by actively engaging with your responsibilities, seeking mentorship, and continually expanding your skills and knowledge in the field of data analysis.
Standard Position Description
  • The student will support departmental decision-making through and/or projects through the development of reports, data visualizations, and insights.
  • Tasks may include: Collecting, cleaning, and analyzing datasets from internal systems (e.g., surveys, spreadsheets, databases), Develop dashboards, reports, and visualizations to summarize findings. Using statistical tools (e.g., Excel, R, SPSS, or Python) to identify trends and insights. Presenting data findings in written and verbal formats to non-technical audiences. Collaborating with faculty/staff to identify opportunities for data-driven improvement. Ensuring accuracy, consistency, and privacy in all data handling processes. May mentor or review work of other student assistants.
  • Special projects or other duties may be assigned related to specific departmental needs.

Professional Outcomes
Critical Thinking, Communication, Teamwork, Leadership, Professionalism, Inclusion, Technology and Data, Career Development
Required Qualifications
Previous skills, training, or experience is required.
Preferred Qualifications
  • Current student in a relevant field (Statistics, Data Science, Social Sciences, etc.).
  • Proficient in data analysis and manipulation using MS Excel.
  • Strong attention to detail, project management, organization, and effective written/verbal communication skills.

Posting Detail Information
Job Open Date
07/13/2026
Job Close Date
09/30/2026
Campus Location
Foggy Bottom
Work Type Designation
Hybrid (mixture of in-person and virtual work)
Hiring Manager Name
Afrah Aslam
Special Instructions Summary
EEO Statement
The university is an Equal Employment Opportunity/Affirmative Action (EEO/AA) employer committed to maintaining a nondiscriminatory, harassment-free, diverse work and education environment. The university does not unlawfully discriminate on the basis of protected characteristics or on any other basis prohibited by applicable law in any of its programs, activities, or employment practices.
For more information on this policy and its purpose, please read the Equal Employment Opportunity Policy Statement.
Background Check
The student employee will:
Have access to process or view financial transactions, student records/grades, employee records, medical records, and/or social security numbers. - Background check required.

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