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$43

How much do internship data governance jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship data governance in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

What is an internship data governance?

Internship Data Governance positions are entry-level roles designed for students or recent graduates to gain hands-on experience in managing and organizing data within an organization. These internships typically involve assisting with data quality control, policy implementation, data privacy, and compliance efforts. Interns may also help document data processes, support data stewardship initiatives, and contribute to improving how data is stored, accessed, and used. The goal is to help organizations maintain trustworthy and well-governed data while providing interns with valuable skills in data management and governance practices.

What are the typical responsibilities of an intern in data governance?

As a Data Governance intern, you will often assist with cataloging data assets, supporting data quality initiatives, and documenting data policies and procedures. Your daily tasks may include collaborating with data stewards, helping to ensure data compliance, and participating in meetings to discuss data standards. This hands-on involvement allows you to gain exposure to enterprise data management and provides valuable experience in cross-functional teamwork. By supporting these activities, you contribute directly to building a foundation of trustworthy, well-managed data across the organization.

What are the key skills and qualifications needed to thrive as an internship data governance?

To thrive as an Internship Data Governance professional, you need a foundational understanding of data management principles, analytical skills, and coursework or experience in information systems or related fields. Familiarity with data governance tools, databases (such as SQL), and data visualization platforms like Tableau is often required. Attention to detail, effective communication, and a proactive approach are valuable soft skills in this role. These skills ensure accurate data handling, compliance with regulations, and effective collaboration with stakeholders, which are critical for maintaining organizational data integrity.

What is the difference between Internship Data Governance vs Data Analyst?

AspectInternship Data GovernanceData Analyst
CredentialsBasic knowledge, often pursuing related degreesDegree in data science, statistics, or related field; certifications optional
Work EnvironmentInternship setting, often in corporate or tech companiesFull-time or part-time roles in various industries
Employer UsageEntry-level, learning-focused positionData-driven decision making, reporting, and analysis

Internship Data Governance roles focus on learning and supporting data management processes, while Data Analysts perform in-depth data analysis and reporting. Both roles require foundational knowledge, but Data Analysts typically have more experience and responsibilities in interpreting data for strategic decisions.

What are the most commonly searched types of Data Governance jobs in Silver Spring, MD?

The most popular types of Data Governance jobs in Silver Spring, MD are:

What are popular job titles related to Internship Data Governance jobs in Silver Spring, MD?

For Internship Data Governance jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Internship Data Governance jobs in Silver Spring, MD look for?

The top searched job categories for Internship Data Governance jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Internship Data Governance jobs?

Cities near Silver Spring, MD with the most Internship Data Governance job openings:

Internship Data Governance jobs near you
Infographic showing various Internship Data Governance job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,390 per year, or $23.3 per hour.

Senior Data Scientist (Auto Loan Pricing)

Navy Federal Credit Union

Vienna, VA • On-site

Other

Posted 2 days ago

New

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 275 frontline employees who took The Breakroom Quiz

62nd of 151 rated financial services

Job description

Overview
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline
This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.
Responsibilities
  • Design, develop, and evaluate moderately complex predictive models and advanced algorithms
  • Identifies meaningful insights from large data and metadata sources by selecting and applying the most effective analytical tools, methodologies, and technologies
  • Test hypotheses/models, analyze, and interpret results
  • Exercise sound judgment and discretion within defined procedures and practices
  • Develop and code moderately complex software programs, algorithms, and automated processes
  • Use modeling and trend analysis to analyze data and provide insights
  • Develop understanding of best practices and ethical AI
  • Transform data into charts, tables, or format that aids effective decision making
  • Build working relationships with team members and subject matter experts
  • Lead small projects and initiatives
  • Partners with key stakeholders to communicate pricing strategies and analytical approaches, translating technical findings into business-relevant insights that drive alignment, decision-making, and executive approval
  • Lead the review and governance of pricing policies and portfolio performance, executing recurring pricing analyses, monitoring activities, and optimization initiatives to support strategic pricing decisions and governance committee discussions
  • Design and enhance pricing frameworks for Auto Lending products, leveraging advanced analytics, predictive modeling, and optimization techniques to evaluate pricing alternatives and inform business strategy
  • Lead and collaborate with cross-functional teams to design, implement, and assess pricing experiments and test-and-learn initiatives, generating insights into borrower behavior and pricing elasticity across various pricing scenarios.
  • Develop and maintain deep industry expertise in the Direct and Indirect Auto Lending markets through competitive research, market intelligence, bureau data assessments, while supporting organizational knowledge-sharing and stakeholder education efforts

Qualifications
  • 3-5 years of experience in exploratory data analysis
  • Basic understanding of business and operating environment
  • Statistics
  • Programming, data modeling, simulation, and advanced mathematics
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS, Databricks
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Working knowledge of procedures, instructions, and validation techniques
  • Model Development
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Sound Judgment
  • Problem Solving (Responds as problems and issues are identified)
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications
  • Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering

Additional Information
Hours:
  • Monday - Friday, 8:00AM - 4:30PM

Location:
  • 820 Follin Lane, Vienna, VA 22180

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
FORTUNE 100 Best Companies to Work For 2026
Yello and WayUp Top 100 Internship Programs 2025
Computerworld Best Places to Work in IT 2026
Most Loved Workplace - America's Top Most Loved Workplaces 2025
2025 PEOPLE Companies That Care
Newsweek Most Trustworthy Companies in America 2026
Military Times 2025 Best for Vets Employers
Forbes 2026 America's Best Large Employers
Forbes 2025 America's Best Employers for New Grads
Forbes 2025 America's Best Employers for Tech Workers
2025 RippleMatch Campus Forward Award Winner for Overall Excellence
Military.com Top Military Spouse Employers 2025
2026 Handshake Early Talent Award
Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026
From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at or by calling 1-. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

What Navy Federal Credit Union employees say

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

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