Data Analyst (Internal Audit Analytics)

U.S. Navy
Vienna, VA, United States
1 day ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Microsoft Azure Big Data Information Systems Data Cleansing Data Governance Extract Transform Load (ETL) Data Transformation Data Profiling Data Structures Desktop Computing Monitoring of Systems
+15 more
Python (Programming Language) Microsoft SQL Server Raw Data Power BI SQL Databases SQL Server Reporting Services SQL Server Integration Services SQL Server Analysis Services Data Processing Scripting Usage Tracking Pyspark Information Technology Data Analytics Unsupervised Learning

Job description

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., * 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

Requirements

  • 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, * 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

About 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

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