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Student Shadow Data Analytics Jobs in Reston, VA

Insilico Logix

Data Analyst

Herndon, VA

$60K - $70K/yr

... for OPT students and visa holders - Skills Enhancement Data Analytics Training Program is provided for selected candidates ** OPT students may also apply If you are qualified and interested in ...

Guidehouse

FM Data Analysis Specialist

Mclean, VA · On-site

ONE (1) year+ experience in financial management and data analytics What Would Be Nice To Have ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

Guidehouse

FM Data Analysis Specialist

Mclean, VA

ONE (1) year+ experience in financial management and data analytics What Would Be Nice To Have ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

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All JobsStudent Shadow Data Analytics JobsStudent Shadow Data Analytics Jobs in Reston, VA

Student Shadow Data Analytics information

See Reston, VA salary details

$34.3K

$84.8K

$145.6K

How much do student shadow data analytics jobs pay per year?

As of Jul 17, 2026, the average yearly pay for student shadow data analytics in Reston, VA is $84,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $100,400.00 per year, depending on experience, location, and employer.

What are Student Shadow Data Analytics?

Student Shadow Data Analytics refers to the process of collecting and analyzing data about students as they are observed or 'shadowed' through their daily academic activities. This analysis helps educators and administrators understand student behaviors, learning patterns, and engagement levels. Insights from this data can be used to improve teaching strategies, personalize learning experiences, and identify areas where students may need additional support. Student shadowing combined with data analytics provides a comprehensive view of the student experience in educational settings.

What types of projects or tasks can I expect to work on as a Student Shadow in Data Analytics?

As a Student Shadow in Data Analytics, you will typically observe and assist with projects such as data collection, cleaning, and visualization. You might help analyze datasets to uncover trends or support team members in preparing reports and presentations for stakeholders. This role often involves collaborating closely with experienced data analysts and learning how to use industry-standard tools like Excel, SQL, or Python. It's a great opportunity to see how real-world business problems are solved using data-driven approaches.

What is the difference between Student Shadow Data Analytics vs Data Analyst?

AspectStudent Shadow Data AnalyticsData Analyst
Required CredentialsTypically enrolled in a related degree program, no formal certification requiredBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau often preferred
Work EnvironmentObservational role, often unpaid or internship-based, in educational or entry-level settingsFull-time professional role in corporate, finance, healthcare, or tech industries
Employer & Industry UsageEducational institutions, internships, entry-level projectsBusinesses, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between Student Shadow Data Analytics and Data Analyst lies in experience, credentials, and work environment. Student Shadow roles are typically observational or internship-based, focusing on learning, while Data Analysts are full-time professionals performing data analysis tasks in various industries.

What are the key skills and qualifications needed to thrive as a Student Shadow in Data Analytics, and why are they important?

To thrive as a Student Shadow in Data Analytics, you should have a foundational understanding of statistics, data interpretation, and basic programming, often gained through coursework or related academic projects. Familiarity with tools such as Microsoft Excel, SQL, and introductory data visualization software (like Tableau or Power BI) is typically expected. Eagerness to learn, attention to detail, and strong communication skills help you stand out in this observational and learning-focused role. These skills are crucial because they enable you to quickly absorb complex concepts, contribute to discussions, and make the most of your shadowing experience in a real-world data analytics environment.
What job categories do people searching Student Shadow Data Analytics jobs in Reston, VA look for? The top searched job categories for Student Shadow Data Analytics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Student Shadow Data Analytics jobs? Cities near Reston, VA with the most Student Shadow Data Analytics job openings:
Student Shadow Data Analytics jobs near you

Research & Data Analytics Intern

PDK International

Arlington, VA • Remote

$25/hr

Other

Posted 7 hours ago

Job description

Educators Rising is seeking a motivated, detail-oriented graduate student or upper-level undergraduate for a Fall 2026 research and data internship focused on measuring and communicating the impact of Educators Rising on the educator workforce pipeline.
 
This project-based internship offers a unique opportunity to contribute to a high-priority organizational initiative aimed at strengthening how we collect, analyze, and communicate program impact. The intern will help assess current data systems, identify opportunities to enhance impact measurement, and develop insights that inform how Educators Rising tells its story to funders, partners, and policymakers.
 
Internship Details:
  • Term: Fall 2026. Ideal start date ~September 1
  • Duration: 8–10 weeks
  • Hours: Approximately 10–15 hours per week
    • $25/hour
    • Need to be able to work at least 5 hours/week during 9am-5pm ET (5 hours flexible and can be aligned on during hiring process)
  • Location: Fully remote, flexible schedule.
    • Need to be physically based in Connecticut, Florida, Georgia, Indiana, Maryland, Michigan, North Carolina, Ohio, Oklahoma, Virginia, Washington DC, or Wisconsin.
  • Structure: Project-based research internship with defined deliverables.
 
Key Responsibilities:
  • Conduct a comprehensive review of Educators Rising data collection practices, systems, and reporting processes to identify gaps and develop a Data Gap Assessment with recommendations for strengthening long-term impact tracking and evaluation.
  • Analyze participation, enrollment, and program data to identify trends, patterns, and opportunities for improvement.
  • Research national and state-level educator workforce data, including teacher shortages, demand projections, and pipeline trends.
  • Explore and propose key indicators related to student demographics, participation, career interests, postsecondary pathways, and workforce outcomes.
  • Review and synthesize publicly available education and workforce datasets to contextualize Educators Rising’s impact
  • Support the development of research briefs, summaries, recommendations, and presentations that translate findings into clear, actionable insights for organizational leadership and external stakeholders.
  • Collaborate with staff and participate in regular project meetings throughout the internship.
 
Qualifications:
Current graduate student or upper-level undergraduate in one of the following or a related field:
  • Data Analytics
  • Education Research
  • Public Policy
  • Statistics
  • Sociology
  • Educational Leadership

Skills needed:
  • Strong research, analytical, and problem-solving skills.
  • Excellent written communication and ability to translate data into clear insights.
  • Strong organizational skills and ability to manage timelines independently.
  • Experience with spreadsheets, survey data, or research tools preferred.
  • Interest in education, workforce development, nonprofit research, or program evaluation strongly preferred.
 
HOW TO APPLY:
To be considered for this role, submit your resume, and cover letter to hr@pdkintl.org with the subject line: Research & Data Analytics Intern. Resumes will be reviewed on a rolling basis.