Job Description

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 Working knowledge of SQL, Python, Azure DevOps, R, Github 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 Desired Qualification(s) Working experience connecting troubleshooting large data sets Familiarity with statistical analysis Hours Monday - Friday, 8:00AM - 4:30pm Locations 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, 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 2025 Yello and WayUp Top 100 Internship Programs Computerworld Best Places to Work in IT Newsweek Most Loved Workplaces Fortune Best Workplaces for Women 2024 2025 PEOPLE Companies That Care Newsweek Most Trustworthy Companies in America Military Times 2024 Best for Vets Employers Best Companies for Latinos to Work for 2025 Forbes 2025 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 2025 Handshake Early Talent Award From Fortune. Fortune and Fortune Media IP Limited 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. 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 teams 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. #J-18808-Ljbffr Navy Federal Credit Union

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