Senior Data Analyst (Internal Audit Analytics)

Navy Federal Credit Union; Pensacola (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Navy Federal Credit Union's Internal Audit team is undergoing a transformational journey to become a best-in-class function. This role performs complex analytical and statistical modeling on large data sets to provide leadership with actionable insights on key risks and controls across lines of business.

You will define data requirements, collect, clean, analyze, model, and visualize data, partnering with audit teams to advise on analytics best practices and effectively manage projects from

Qualifications

• 5-7 years of experience in data analysis and reporting.
• Complete knowledge and understanding of business area/specialization.
• Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools.
• Effective skill with ETL tools and techniques, data cleaning, and other analytical techniques required for data usage.
• Advanced skill with statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques.
• Advanced knowledge and experience 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.

Responsibilities

• Understand data and analysis needs with technology teams and develop technical requirements.
• Conduct data UAT and data accuracy validation.
• Identify and compile data sets to support key business outcomes.
• Analyze and resolve complex data quality issues using profiling, cleansing, and monitoring techniques.
• Develop and implement advanced data cleaning and validation processes, including outlier detection and imputation.
• Clean and organize raw data and generate descriptive statistics for BI and data science projects.
• Partner with data science teams to maintain statistical models and support ongoing analysis.
• Build working relationships with team members and subject matter experts.
• Lead small projects and initiatives.

Skills

Data analysis

SQL

Python

R

ETL

Data governance

Statistical modeling

Education

Bachelor's Degree in Statistics, Mathematics, Computer Science or related field

Tools

PySpark

PowerBI

MS SQL

SSIS

SSRS

SSAS

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.

Navy Federal's Internal Audit team is in the midst of an exciting transformational journey to become a best-in-class Audit function! It is our vision to be a preferred advisor to the business by building and cultivating trust through the consistent execution of high-quality and risk-focused audit and advisory work. We're focused on implementing efficient processes, maximizing our use of technology, integrating data analytics into everything we do, and investing in our biggest asset, our people. If this sounds like the type of team you'd like to be a part of, then we want to learn more about you!

Perform complex analytical and statistical modeling on large data sets to provide Internal Audit leadership, risk partners, and business unit Management with actionable intelligence and insights on key risks to business processes and controls. Define data requirements, perform data collection, processing, cleaning, analysis, modeling and visualization on systems and data from all lines of business. Lead complex data analysis projects with minimal supervision and wide latitude for independent judgment. Consult with audit teams and other stakeholders to advise on data analytics best-practices on audit engagements. Effectively manage projects from inception through deployment and maintenance.

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

• 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
• 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
• Develop and implement advanced data cleaning and validation processes, including outlier detection, imputation methods, and anomaly detection, to maintain data integrity and quality
• 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
• Build working relationships with team members and subject matter experts
• Lead small projects and initiatives

Qualifications

• 5-7 years of experience in data analysis and reporting
• Complete knowledge and understanding of business area/specialization
• Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools
• Effective skill with ETL tools and techniques, data cleaning, and other analytical techniques required for data usage
• Advanced skill with statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques
• 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
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications

• Master's degree in Business, Finance, Statistics, Information Systems, Computer Science, Data Science, Data Analytics, or a related field
• Experience in Compliance, Operational Risk, Enterprise Risk Management, Internal Audit or similar.
• Experience with cloud platforms (e.g., Azure).
• Experience with anomaly detection techniques (e.g., unsupervised learning).
• Advanced knowledge and experience working with MS SQL, SSIS, SSRS, SSAS
• Working knowledge of Navy Federal Human Resources policies, procedures, and programs

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

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 2026From 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 [e-mail] or by calling 1-888-503-6013. 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.