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Student Shadow Data Analytics Jobs in Reston, VA

Provide accurate data and reports to university departments as needed to enhance student success ... QUALIFICATIONS: * Bachelor's degree in Computer Science, Decision Science/Analytics, Business ...

Analytics & Visualization * Transform, integrate, and analyze data across multiple platforms to ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

Analytics & Visualization * Transform, integrate, and analyze data across multiple platforms to ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

Cleared Data Scientist

Washington, DC · On-site

$98K - $163K/yr

Utilize Power Automate to automate analytical and business processes. Work independently or in ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

Cleared Data Scientist

Washington, DC · Hybrid

$98K - $163K/yr

Utilize Power Automate to automate analytical and business processes. Work independently or in ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

Showing results 21-40

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 Aug 7, 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 is a 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 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:
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:

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

About Us:

Louisiana State University of Alexandria is a publicly supported institution that provides undergraduate level college education to the citizens of Central Louisiana. The university is a unit of the LSU System and operates under the auspices of the Louisiana Board of Regents. LSUA is located in Rapides Parish.

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Data AnalystPosition Type:Professional / UnclassifiedDepartment:LSUA ASA - Institutional Research and Effectiveness (Rocaille Von Roberts (00252662))Work Location:LSU - AlexandriaPay Grade:ProfessionalJob Description:

DEPARTMENT: Office of Institutional Research & Effectiveness

POSITION TITLE: Data Analyst

SUPERVISOR: Director, Office of Institutional Research & Effectiveness

PURPOSE: Responsible for supporting official university reporting. This includes

understanding and analyzing university data to produce required reports as well as providing data, trends and analyses to university stakeholders.

RESPONSIBILITIES:

  • Provide accurate data and reports to university departments as needed to enhance student success and operational efficiency across academic, student support and administrative areas.
  • Write programming scripts to enhance functionality and/or performance of university applications as necessary.
  • Work collaboratively with IET Services and other university offices to facilitate strong data governance and ensure the integrity of data in the university's data systems.
  • Develop and maintain technical documentation (e.g. data definitions, code documentation, standard operating procedures, etc) for data, reports and projects.
  • Coordinate the completion of required state and federal data reports, including but not limited to submissions to the Louisiana Board of Regents, National Student Clearinghouse, and IPEDS.
  • Respond to internal and external ad hoc requests for university data.
  • Support data needs for ongoing assessment, program review, strategic planning, accreditation and related activities.
  • Research, analyze, and interpret university data and trends to support data-driven decision-making across university stakeholders.
  • Develop dashboards and other online data tools to enhance data accessibility across university stakeholders.

QUALIFICATIONS:

  • Bachelor's degree in Computer Science, Decision Science/Analytics, Business Administration, Applied Statistics, or a related field, or a minimum of five (5) years of experience in a database or systems analyst related field, preferably in higher education. Candidates with 3-5 years of experience in Institutional Research in higher education are strongly encouraged to apply.
  • Excellent understanding of coding methods and best practices.
  • Extensive experience in data analysis using tools such as R, SPSS, SAS, Tableau, PowerBI, and/or other similar data tools is required.
  • Extensive knowledge and experience in programming and scripting languages such as: Microsoft SQL, Python, and/or other similar languages is required.
  • Ability to design, develop, and manage relational database systems.
  • Knowledge and experience with ERP, SIS, and CRM system programming and reporting preferred.
  • Knowledge of applicable data privacy practices and laws.
  • Strong written, oral, and interpersonal communication skills.
  • Highly self-motivated and directed.
  • Extreme attention to detail is required.
  • Proven analytical and problem-solving abilities.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.

OFFICE HOURS: Eight (8) hours per day, Monday-Friday, 40 hours per week. Additional hours worked as needed.

Additional Job Description:Competencies:NoneSpecial Instructions:Application Instructions:
Please attach a Resume/CV, a cover letter, 3 references and unofficial transcripts. Official transcripts will be required upon hire.
Please attach all transcripts to your application. A background check is required for hire.
Questions or concerns about your application should be directed to LSUA Human Resources at (318) 473-6401 or hr@lsua.edu.

Skills Needed:

Communication, Customer-Focused, Data Accuracy, Detail-Oriented, IT Quality Assurance, Policy Knowledge, Time Management, Troubleshooting

Preferred Skills:

Posting Date:July 17, 2026Closing Date (Open Until Filled if No Date Specified):Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSUA offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):LSUA is an Equal Opportunity Employer.HCM Contact Information:

Questions or concerns can be directed to the LSU Human Resources Management Office at 318-473-6401 or emailed hr@lsua.edu