1

Student Shadow Data Analytics Jobs in Washington

Sr Analyst - Data Analytics

VA · On-site +1

$86K - $109K/yr

... Data Analytics to help support our Federal ... Student Aid (FSA) portfolio, where you will play a critical role in transforming complex ...

New

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

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

... 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 ...

next page

Showing results 1-20

Student Shadow Data Analytics information

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?

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

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

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

What cities in Washington are hiring for Student Shadow Data Analytics jobs?

Cities in Washington with the most Student Shadow Data Analytics job openings:

Sr Analyst - Data Analytics

VA • On-site, Remote


Maximus

6.8

Company rating: 6.8 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

301st of 499 rated business services

Recommended by students

Paid breaks

Recommended by parents


$86K - $109K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago

New


Job description

General information
Job Posting Title
Sr Analyst - Data Analytics
Date
Tuesday, August 25, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is in search of a Sr. Analyst - Data Analytics to help support our Federal Student Aid (FSA) portfolio, where you will play a critical role in transforming complex operational data into actionable insights that drive program performance and enhance customer outcomes. In this role, you will develop and deploy advanced analytical methods, create and implement KPIs, and leverage tools such as SQL and Python to work with large enterprise datasets. You will act as a trusted partner across multiple projects, guiding stakeholders on data usage, performance improvements, and solution maturity. This position also focuses on modernizing the data ecosystem through automation, scalable pipelines, and the integration of AI, machine learning, and advanced analytics to enable predictive insights and improve efficiency. You will collaborate cross-functionally to build reusable data products, support governance and data quality initiatives, and evaluate emerging technologies to advance analytics capabilities. This is an exciting opportunity to make a meaningful impact while supporting critical federal programs through innovative, data-driven solutions.
This is a remote position.
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Understanding/familiarity with semantic layers/data architecture.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python) required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data privacy, or regulated data environments is required.
- High School Diploma or GED required
- Must reside in the U.S.
- Must be a U.S. citizen.
- Sponsorship is not permitted on this project
- Must be able to pass a federal criminal background check.
- Must not be delinquent or in default on any federal student loans.
- Employment and continued employment are contingent upon obtaining and maintaining a favorable clearance. Final suitability determination is the sole discretion of the Department of Education.
- Obtaining and Maintaining a PIV-I card is a requirement of this position. PIV-I cards must be picked up in person. New and existing employees may need to travel via car, train, or plane to a designated location to pick up their new or replacement PIV-I card. Any travel expenses will be paid for by Maximus.
- Cell phone with service is required to download an authenticator app to be used to log in to your work computer.
Home Office Requirements:
- Hardwired internet (ethernet) connection
- Internet download speed of 25mbps or higher required (you can test this by going to [1] www.speedtest.net)
- Private work area and adequate power source
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
$
83,400.00
Maximum Salary
$
101,000.00

What Maximus employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom