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Student Shadow Data Analytics Jobs in Washington, DC

Insilico Logix

Data Analyst

Herndon, VA

$60K - $70K/yr

  • Medical

  • Dental

  • Vision

... 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

Data Analyst (Visualization)

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The individual will provide data analytics, dashboard development, and general analytical support ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

SynergisticIT

Junior Data Analyst

Washington, DC · On-site

... analytics. This opportunity is a strong fit for recent graduates, career changers, and ... Students who recently finished their Bachelor's or Master's programs Those struggling to land ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

... student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics. Requirements ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

... student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics. Requirements ...

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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 Aug 20, 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.

Senior Data Analytics Engineer

Nyla Technology Solutions

Annapolis Junction, MD • On-site

$159K - $188K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED


We have an immediate need for a Data Engineering-focused Software Engineer to join our Data Management practice within an active Scrum environment. In this role, you will help shift legacy security processes into an automated, continuous monitoring framework by engineering distributed analytics, validating data ingestion pipelines, and ensuring national security end-users receive accurate, timely cyber telemetry.


The annual base salary range for this role is $159,000-$188,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

, Required Skills

Big Data Analytics: Direct, hands-on experience writing and optimizing distributed data analytics using PySpark or Apache Pig.

Data Pipeline Ingestion Validation: Proven ability to investigate data flow issues, validate ingestion pipelines, and evaluate software merge requests for data integrity.

Software Development Scripting: Strong programming background using Python in Linux environments for data processing and backend automation.

Database Querying Modeling: Demonstrated ability to construct complex database queries, schema interfaces, and dataretrieval scripts.

Testing Quality Assurance: Experience deriving software requirements, writing unit/integration test procedures, and debugging complex software defects.

Version Control: Experience using Git for code reviews, branch management, and collaborative software delivery.


Education: Bachelor’s Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 7+ years of specialized data analytics or financial intelligence experience OR High School Diploma / GED, PLUS 11+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

, Desired Skills

Agile / Scrum Methodologies: Direct experience working within an Agile Scrum framework delivering iterative software capabilities.

Cybersecurity Tooling: Familiarity with enterprise cybersecurity tools, threat intelligence telemetry, or continuous security monitoring platforms.

Agile Tooling: Practical experience with the Atlassian Tool Suite (Jira, Confluence) for task management and documentation.

, About Nyla Technology Solutions

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.


If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,


Taking Care of All of You

Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.


The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.


PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!


LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave!


SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks!


WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place.


To learn more about Nyla's culture and our exceptional benefit packages click https://nylatechnologysolutions.com/careers/#culture">here.

Nyla is an equal opportunity employer.