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Student Shadow Data Analytics Jobs in Washington, DC

Guidehouse

Data Analytics Consultant

Washington, DC · On-site

$113K - $188K/yr

The Data Analytics Consultant will support DHS PLCY by delivering data visualizations, analytics ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

Guidehouse

Data Analytics Consultant

Washington, DC · On-site

$113K - $188K/yr

The Data Analytics Consultant will support DHS PLCY by delivering data visualizations, analytics ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

3M HEALTHCARE

Data Analytics Consultant

Arlington, VA · On-site

$60 - $85/hr

None What You Will Do As a Consultant you will have the daily responsibility to analyze client data ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

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 ...

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All JobsStudent Shadow Data Analytics JobsStudent Shadow Data Analytics Jobs in Washington, DC

Student Shadow Data Analytics information

See Washington, DC salary details

$37.4K

$92.3K

$158.6K

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

As of Sep 6, 2026, the average yearly pay for student shadow data analytics in Washington, DC is $92,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $109,300.00 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 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 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.

How to become a student shadow data analyst with no experience free?

To become a student shadow data analyst with no experience, start by learning basic data analysis skills using free online resources such as tutorials on Excel, SQL, and Python. Seek opportunities to observe professionals through internships, volunteering, or mentorship programs, and build a portfolio of simple projects to demonstrate your skills. Gaining familiarity with data visualization tools like Tableau or Power BI can also enhance your prospects.

What are popular job titles related to Student Shadow Data Analytics jobs in Washington, DC?

For Student Shadow Data Analytics jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Student Shadow Data Analytics jobs in Washington, DC look for?

The top searched job categories for Student Shadow Data Analytics jobs in Washington, DC are:

Student Shadow Data Analytics jobs near you
Infographic showing various Student Shadow Data Analytics job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,327 per year, or $44.4 per hour.

Chief Data & Analytics Officer

Careers | DFC

Washington, DC • On-site

$169K/yr

Full-time

Posted 7 days ago

Job description

This position is part of the U.S. International Development Finance Corporation (DFC), Office of Performance & Innovation (OPI). The Chief Data & Analytics Officer (CDAO) serves as DFC's senior official for enterprise data governance, data strategy, analytics, and data management. The CDAO establishes the vision, policies, standards, and operating model necessary to ensure that DFC data are accessible, reliable, secure, inter-operable, and used responsibly.Qualifications:Applicants must meet all eligibility and qualification requirements no later than the closing date of this announcement.
You may qualify at the GS-15 level, if you fulfill the following qualification requirements:
One year of specialized experience equivalent to the GS-14 grade level in the Federal service that demonstrates your ability to:
1) Manage or support the planning, implementation, and/or operation of an enterprise data governance and/or data management program, which may include development of data strategy, policies, standards, definitions, processes, roles, and/or controls that improve data quality, accessibility, security, and appropriate use, and that establish the foundational data ecosystems required to support advanced analytics and AI;
2) Lead enterprise data and analytics initiatives that turn data into decisions and outcomes, such as providing guidance and oversight over the development and rollout of data infrastructure such as a data lake or data warehouse; applying advanced analytics, modeling, AI, and/or automation to improve routine processes and inform decision-making; and preparing and provisioning quality data to support dashboards, KPIs, and performance reporting used by senior leadership and program teams;
3) Cultivate a data-driven culture and foster collaborative relationships across cross-functional stakeholders, who may include business/program offices, information technology staff, data owners/users, and senior leadership; and
4) Lead, supervise, or manage staff, teams, contractors, or cross-functional working groups responsible for data, analytics, information management, and related functions.
Note: Education is not substitutional at this grade level.
Please Note: Applicants may be asked to produce a writing sample during the interview stage.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
This position is being advertised concurrently with vacancy announcement 26-OPI-MP-13050684-KS using Merit Promotion (MP) procedures. If interested, refer to that announcement to determine if you meet MP requirements and can apply to that announcement. NOTE: You must apply separately to each announcement in order to be considered under both.
This announcement may be used to fill similar positions, if additional vacancies occur.Education:

This job does not have an education qualification requirement.

Employment Type: OTHER

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