Data Analyst (Data Quality)

Overview

Partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data collection, processing and cleaning. Provide inputs for data science and business intelligence projects and perform analytical on large data sets to support departmental and organizational objectives. Growing an understanding of business needs and objectives. Solve a range of mostly straightforward problems with some increased scope and complexity. Developing professional with basic skill set and proficiency with procedures and analysis techniques.

Responsibilities

• Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research

• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis

• Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes

• Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards

• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects

• Partner with senior staff to communicate findings and insight to stakeholders

• Collaborate with team members and participate in team projects and initiatives

• Provide data research and write data queries for smaller analytics projects

Qualifications

• 2-5 years of experience in data analysis and reporting

• Basic understanding of business and operating environment

• Strong understanding of advanced data cleaning and preprocessing techniques and tools

• Effective skill with analytical techniques required for data usage and data cleaning

• Skill interpreting, extrapolating and interpolating data for statistical research and modeling

• Knowledge of various data structures and ability to extract data sources (e.g., PySpark, PowerBI)

• Knowledge of data governance principles and practices

• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Additional Information

Hours:

• Monday - Friday, 8:00AM - 4:30PM

Locations:

• 820 Follin Ln. Vienna, Virginia 22180

• 141 Security Drive Winchester, VA 22602

• 5550 Heritage Oaks Dr. Pensacola, FL 32526

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

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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 View email address on click.appcast.io or by calling View phone number on click.appcast.io. 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. REQNUMBER: 30517