Principal Data Analyst (Member Financial Solutions Strategy & Analytics)

About the role

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. 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 complex data science and business intelligence projects and perform analytical on large data sets to support departmental and organizational objectives. Work independently to interpret and develop solutions to complex business challenges that have a significant impact on the function or branch. Specialized skill set and proficiency with procedures and analysis techniques. Recognized as an expert in own area within the company. 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

Responsibilities

• Work with technology organization and business end-users to understand data and analysis needs and develop technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
• Lead and oversee cross-functional data collection efforts, developing and implementing strategies to gather, clean, and preprocess data from diverse sources while ensuring accuracy, consistency, and completeness
• 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
• Analyze and resolve complex data quality issues, utilizing advanced data profiling, cleansing, and monitoring techniques to maintain data integrity and reliability
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
• Partner with data science teams to maintain statistical models for ongoing and ad hoc review and analysis of data
• Assist with the development and enhancement of practices, procedures, and instructions
• Develop and maintain strong working relationships with team members, subject matter experts, and leaders; work with senior management on complex issues
• Lead moderate to large projects and initiatives
• Mentor lower level staff
• Provide guidance and input on data quality measures and developing data controls

Requirements

• 7-10 years of experience in data analysis and reporting
• Subject matter expert within business area/specialization with understanding of interrelationships of different disciplines
• Expert skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools
• Advanced skill with ETL tools and techniques, data cleaning, and other analytical techniques required for data usage
• Advanced 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)
• Strong understanding of data governance principles and practices, with experience establishing and enforcing data governance policies, procedures, and standards
• Demonstrated leadership and project management skills, with experience leading large-scale data initiatives and driving data quality improvements
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
• Additional Information
• Hours:
• Monday - Friday, 8:00AM - 4:30PM
• Location:
• 820 Follin Lane, Vienna, VA 22180
• 5510 Heritage Oaks Drive, Pensacola, FL 32526
• 141 Security Drive, Winchester, VA 22602

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