Internship Manufacturing Data Analyst Jobs in Springfield, VA

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.