Senior Data Analyst (Internal Audit Analytics)

Navy Federal Credit Union•Vienna, VA

8d•$96,900 - $141,600•Onsite

About The Position

Navy Federal's Internal Audit team is undergoing a significant transformation to become a top-tier Audit function. Our vision is to be a trusted advisor to the business by consistently delivering high-quality, risk-focused audit and advisory work. We are focusing on efficient processes, leveraging technology, integrating data analytics into all aspects of our work, and investing in our people. If this aligns with your career aspirations, we encourage you to apply. This role involves performing complex analytical and statistical modeling on large datasets to provide Internal Audit leadership, risk partners, and business unit Management with actionable intelligence and insights on key business process and control risks. Responsibilities include defining data requirements, collecting, processing, cleaning, analyzing, modeling, and visualizing data from all lines of business. The position requires leading complex data analysis projects with minimal supervision and significant independent judgment. You will consult with audit teams and stakeholders to provide guidance on data analytics best practices for audit engagements and manage projects from initiation to completion. This position is eligible for the TalentQuest employee referral program. If referred, please use the system-generated link provided.

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

Nice To Haves

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

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