Join a team focused on data-driven internal audit outcomes. In this onsite role in Winchester, VA, you’ll deliver technology-enabled insights and audit analytics by building and improving audit-focused data products, automations, and AI-enabled capabilities across the audit lifecycle. This position supports Internal Audit’s strategic objectives and decision-making through reliable models, population-based analytics, and continuous monitoring.
Compensation: USD 99,400 - 155,850 per year.
Work schedule: Monday - Friday, 8:00AM - 4:30PM.
Responsibilities
- Develop, maintain, and enhance data products, data pipelines, analytical models, dashboards, and automation solutions supporting Internal Audit analytics and decision-making
- Design, build, and enhance agentic AI and workflow automation solutions using AI technologies to improve efficiency in audit processes
- Partner with auditors, business stakeholders, and technology teams to understand requirements and translate business needs into scalable analytical solutions
- Support audit initiatives including automated control testing, population-based analytics, continuous monitoring, and audit automation
- Use modeling and trend analysis to analyze data and provide insights
- Apply best practices for ethical AI while improving data and model solutions
- Transform data into charts, tables, or other formats that enable effective decision making
- Build working relationships with team members and subject matter experts
- Lead small projects and initiatives
- Use effective written and verbal communication to document and present analysis findings to diverse stakeholder groups
Requirements
- 3-5 years of experience in exploratory data analysis
- Basic understanding of the business and operating environment
- Strong foundation in statistics, programming, data modeling, simulation, and advanced mathematics
- Hands-on experience with one or more: SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
- Experience with model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research skills, interpersonal skills, and sound judgment
- Working knowledge of procedures, instructions, and validation techniques
- Experience with communication, critical thinking, collaboration, and relationship building
- Problem solving skills applied as problems and issues are identified
- Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative field
Technologies
SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS, Alteryx, Databricks, Azure Data Lake, Microsoft Copilot Studio, Power Automate, Power Apps, Azure AI Foundry, Pandas, NumPy, PySpark, Scikit-learn, Power BI
Additional Information
- Authorization: Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without current or future sponsorship.
- Referrals: This position is eligible for the TalentQuest employee referral program.
- Locations: 820 Follin Lane, Vienna, VA 22180; 5510 Heritage Oaks Drive, Pensacola, FL 32526; 141 Security Drive, Winchester, VA 22602
Disclaimers
- Navy Federal reserves the right to fill this role at a higher or lower grade level based on business need.
- An assessment may be required to compete.
- Job postings may close early or extend based on qualified applicant volume.
- Navy Federal assesses market data to establish salary ranges and includes compensation guidance on the Benefits page of the Navy Federal Career Site.
Protect Yourself From Job Scams
- Navy Federal jobs are posted on jobs.navyfederal.org and reputable job boards (for example, LinkedIn, Indeed).
- Navy Federal does not post jobs on social media marketplaces, messaging apps, or unverified websites.
- Navy Federal 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.
