Senior Data Analyst (Internal Audit Analytics)

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.

- 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