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Student Shadow Data Analytics Jobs in Reston, VA

As a Data Analyst, you will be part of a dynamic team supporting customers within the Cybersecurity ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Our Data and Analytics consultants help clients maximize the value of their data. This high ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

Our Data and Analytics consultants help clients maximize the value of their data. This high ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

BUSINESS DATA ANALYST Location: Remote,USA Clearance: This position requires an Active Secret ... a Student Loan Repayment Program * Gym Reimbursement Program. * Paid Time off * Dynamics ...

... · Support analytics handoff and institutional adoption efforts · Progressively develop Army ... student support, setup/teardown) · Perform data validation and quality checks on training datasets ...

... · Support analytics handoff and institutional adoption efforts · Progressively develop Army ... student support, setup/teardown) · Perform data validation and quality checks on training datasets ...

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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:
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:

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

None


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:
As a Data Analyst, you will be part of a dynamic team supporting customers within the Cybersecurity and Infrastructure Security Agency (CISA). In this role, you will help drive datainformed decisionmaking by collecting, transforming, integrating, and analyzing data to identify trends, assess performance, and create meaningful visualizations.

  • Collect, integrate, and analyze complex datasets to uncover insights that support mission objectives.

  • Develop intuitive, interactive, and visually compelling dashboards (e.g., in Power BI) for users with a wide range of technical backgrounds.

  • Define data requirements and ensure data is properly stored, accessible, and aligned with client needs.

  • Create and maintain data governance documentation, tools, and templates.

  • Collaborate with nontechnical stakeholders to gather, understand, and refine requirements.

  • Identify and document data quality and fidelity issues; provide recommendations for remediation.

  • Build tools, resources, and reports to support data requests and ongoing analysis needs.

  • Operate effectively in a hybrid work environment, including onsite client work, Guidehouse offices, and remote settings.

What You Will Need:

  • Ability to obtain and maintain a Public Trust (or higher) security clearance.

  • Bachelor's degree.

  • Two (2) or more years of experience in data engineering, data visualization, data integration, or database management.

  • Experience ensuring data accuracy and usability through data quality management and integration using tools such as SQL, Python, or R.

  • Proven experience creating data visualizations and dashboards with Power BI.

What Would Be Nice To Have:

  • Strong proficiency in SQL (or similar tools), including querying and joining large datasets.

  • Understanding of relational database design and structures.

  • Handson experience with data wrangling and analysis in R or Python.

  • Excellent communication and collaboration skills with the ability to work effectively on crossfunctional teams.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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