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Student Shadow Data Analytics Jobs in Reston, VA

CLEAResult

EV Data Analysis Lead

Washington, DC

$107K - $161K/yr

Develop data analytics strategies to support proposal (RFP) responses * Assess research and data ... students. Applicants must be authorized to work in the country where the position is located ...

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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 Jun 19, 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.

Do job shadows get paid?

Job shadows, including those in data analytics, are typically unpaid opportunities that allow students to observe professionals and learn about the field. Some organizations may offer stipends or incentives, but most shadowing experiences are voluntary and unpaid. It is important to confirm specific arrangements with the hosting organization.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not fully replace data analysts. Data analysts, including those in roles like Student Shadow Data Analytics, are needed to interpret complex data, develop insights, and make strategic decisions that require human judgment and domain knowledge. Skills in data visualization, statistical analysis, and tools like Python or R remain essential for these roles.

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.

Is 40 too late for data science?

The Student Shadow Data Analytics role involves learning data analysis skills, which can be pursued at any age. Many professionals successfully transition into data science later in life by gaining relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age.

Does job shadowing mean you got the job?

Job shadowing, such as in a Student Shadow Data Analytics role, is an observational experience that provides insight into the work environment and tasks but does not guarantee employment. It is a learning opportunity and does not imply that a job offer has been made or received.
What are popular job titles related to Student Shadow Data Analytics jobs in Reston, VA? For Student Shadow Data Analytics jobs in Reston, VA, the most frequently searched job titles are:
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Student Shadow Data Analytics jobs near you

Hiring our Heroes Skillbridge - Data Scientist

Systems Planning and Analysis

Alexandria, VA • On-site

Full-time

Posted 8 days ago

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
SPA provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to a variety of Government acquisition offices. These offices span throughout the Department of Defense to include major defense programs and new weapon technology development programs. Analysts and Engineers supporting these programs would continue SPA's decades of support to high-profile, major acquisition programs.
At SPA, we are committed to our nation's Military and Veterans through our partnership with Hiring Our Heroes, providing an opportunity for transitioning service members to gain valuable civilian work experience through an individual fellowship. The fellowship is open to all ranks and experience levels.
During this program, the service member will be on-site performing an individual externship in a mid to mid to senior-level career-type role. The service member will be receiving on the job training, supporting a work schedule equivalent to 32 hours per week. The program provides a comprehensive fellowship experience including professional development, networking with leadership, and training specifically focused on our leadership principles, company history, stakeholder engagement, product and service overview, and core job responsibilities. Our goal is to provide qualified individuals with a full-time offer at the conclusion of the Skillbridge Externship program.
Responsibilities
The successful candidate will be expected to shadow and provide advanced analytical support to SPA customers in the national security and homeland defense mission spaces, applying rational, systematic, science-based techniques, and critical thinking to help inform and improve decision-making. Candidates will be expected to apply principles of mathematics and statistics, computer science, software development, and the latest technologies to design and implement an analytical infrastructure and tools, workflow processes, and complex data visualizations.
The candidate may be required to:
  • Design and execute analytical methodologies leveraging modern tools accented with personal innovation
  • Use a variety of analytic tools and techniques to evaluate data and recommend actions to overcome challenges
  • Effectively communicate data and analytic related topics to technical and non-technical audiences
  • Develop or adopt data standards and frameworks to collect, integrate and link, and manage data
  • Implement data exploration techniques, analytical methods, operations research, and modeling and simulation tools to support program execution
  • Develop, deploy, manage, and document models and analytic methods
  • Create software code to extract and transform data for use in analysis
  • Develop automated analytic algorithms to assist with data management
  • Develop plans of action and timetables in order to meet established deadlines

Qualifications
Required Qualifications (multiple levels needed): Experience in assisting with the development of professional reports to impact decision-making and a current Secret clearance, as well as
Must be an active participant in the Hiring our Heroes Skillbridge Fellowship to be considered for the Externship.
Junior:
  • Bachelor's degree in math, physical or computer science, data science, analytics, or related STEM field
  • Up to 3 years of experience conducting data analysis and assessment and presenting results

Mid:
  • Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field
  • 4-10 years of experience conducting data analysis and assessment and presenting results

Senior:
  • Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field
  • 10+ years of experience conducting data analysis and assessment and presenting results

Desired Qualifications:
  • Top Secret Clearance
  • Advanced Degree
  • Expertise with at least one programming or query language such as R, Python, SQL, or Cypher
  • Proficiency with relational databases or NoSQL database
  • Previous experience working with a government agency
  • Experience using methodologies that support technology and investment decisions to improve national security mission success

Apply