Senior Data Analyst – Internal Audit Analytics

Navy Federal Credit Union

. Perform complex analytical and statistical modeling on large data sets .

Posted 9/18/2026full-timeVienna • Florida • United StatesSenior💰 $96,900 - $141,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, statistical modeling, and data governance, with a strong ability to lead complex projects and collaborate with cross-functional teams. Proficient in SQL, Python, and advanced data cleaning techniques to ensure data integrity and actionable insights.

Highest-signal resume keywords

Data AnalysisStatistical ModelingSQLPythonData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningStatistical AnalysisETL TechniquesData VisualizationData ProfilingAnomaly DetectionData StructuresDescriptive StatisticsData Quality AssuranceData Collection

Soft Skills

LeadershipCollaborationCommunicationProblem-SolvingRelationship Building

Tools & Technologies

Power BIPySparkMS SQLSSISSSRSSSASAzure

Industry Keywords

Internal AuditOperational RiskEnterprise Risk ManagementComplianceData Governance

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonSQLSSIS

About the role

Key responsibilities & impact

Perform complex analytical and statistical modeling on large data sets
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 and perform data collection, processing, cleaning, analysis, modeling, and visualization across systems and lines of business
Lead complex data analysis projects with minimal supervision and independent judgment
Consult with audit teams and stakeholders on data analytics best practices for audit engagements
Manage projects from inception through deployment and maintenance
Work with technology organization and business end-users to define data requirements, business rules, data definitions, and data quality requirements
Conduct data user acceptance testing and data accuracy, validation, and integrity research
Perform quality data audits and analysis for reporting compliance
Identify and compile data sets to predict, improve, and measure business-to-business outcomes
Resolve complex data quality issues using data profiling, cleansing, and monitoring techniques
Develop data cleaning and validation processes, including outlier detection, imputation, and anomaly detection
Clean and organize raw data and generate descriptive statistics for business intelligence and data science projects
Partner with data science teams to maintain statistical models
Build relationships with team members and subject matter experts
Lead small projects and initiatives

Requirements

What you’ll need

5-7 years of experience in data analysis and reporting
Complete knowledge and understanding of the business area/specialization
Skill in SQL, Python, or R
Advanced data cleaning and preprocessing techniques and tools
Experience with ETL tools and techniques
Advanced statistical analysis skills, including measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression
Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling
Knowledge of data structures and extracting data sources, such as PySpark and Power BI
Strong understanding of data governance principles and practices
Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or similar quantitative fields
Must be authorized to work in the United States without current or future sponsorship
Desired: Master's degree in a related field
Desired: Experience in Compliance, Operational Risk, Enterprise Risk Management, Internal Audit, or similar
Desired: Experience with cloud platforms such as Azure
Desired: Experience with anomaly detection techniques such as unsupervised learning
Desired: Advanced knowledge and experience with MS SQL, SSIS, SSRS, and SSAS
Desired: Working knowledge of Navy Federal Human Resources policies, procedures, and programs
Monday-Friday availability, 8:00 AM-4:30 PM

Benefits

Comp & perks

Highly competitive pay
Generous benefits and perks
Employee referral program eligibility
Paid holidays and leave are not specified
Career experience in an energized, engaged and committed culture