Senior Data Analyst

Overview

To support Internal Audit’s data-driven audit testing strategy and the development of Continuous Risk Assessment (CRA). 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. Design, automate and publish data pipelines and dashboards that provide continuous monitoring capabilities. 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.

Responsibilities

Develop, maintain, and manage advanced reporting, dashboards, data models and analytical results
Evaluate and define functional requirements for analytics and business intelligence (BI) solutions
Retrieve, analyze and validate data and test accuracy of reported results
Work directly with project leads to understand requirements and propose key analytics solutions to drive effective decision-making and influence business objectives
Produce actionable reports that demonstrate key performance indicators, identify areas of improvement for current operations, and show root cause analysis of problems
Analyze and summarize business operations, customer and/or economic data in order to improve business intelligence, optimize operating effectiveness and predict business outcomes
Identify trends and patterns in business data; create data visualizations to support business decision making
Build new and/or modify existing database/data warehouse/data mart and business intelligence solutions to meet business and system requirements
Collaborate with business units and senior management to conduct needs assessment to support business unit objectives
Support complex Data Science and Big Data projects
Effectively communicate data outcomes to business stakeholders and leadership
Mentor and guide less experienced staff

Qualifications

Bachelor’s degree in Business, Finance, Statistics, Information Systems, Computer Science, Data Science, Data Analytics, or a related field, or the equivalent combination of training, education and experience
Significant hands-on experience in the use of business intelligence tools such as PowerBI, Tableau, Cognos, Qlick, or similar)
Significant hands-on experience in the application of statistical methods, mathematical techniques, forecasting, cost-benefit analysis, related analytical tools and programming languages (Python, R, SAS or similar)
Advanced hands-on SQL skills for extraction, transformation and analysis of data
Advanced skill analyzing statistics and reports to determine business performance and trends
Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling
Significant experience that demonstrates the ability to research, compile, and document data, business processes, and workflow
Advanced skill identifying and analyzing business requirements and recommending solutions
Effective skill presenting findings, conclusions, alternatives and information clearly and concisely
Working knowledge of standard ETL tools and techniques
Working knowledge of the process in sourcing raw data and cleansing techniques
Working knowledge of data warehousing, data cleaning, and other analytical techniques required for data usage
Advanced skill in understanding and communicating data presented in models, charts, and tables and transforming it into a format that is useful to the business and aids effective decision making
Advanced skill in the use of measurement and statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events
Advanced skill in understanding and analyzing models that predict the probability of an outcome
Advanced knowledge of and the ability to perform basic statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques
Significant experience in problem resolution including determining root cause, scope and scale of issues
Advanced skill in collecting and manipulating data used in effective decision making
Working knowledge of data models, design tools and business/technical requirements
Demonstrates a key understanding of multiple database concepts and data flows
Working knowledge of mapping techniques and data pipelines
Advanced Microsoft Excel skills

Desired Qualifications

Advanced 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

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 5510 Heritage Oaks Drive, Pensacola, FL 32526

About Us

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.

• Best Companies for Latinos to Work for 2024

• Computerworld® Best Places to Work in IT

• Forbes® 2024 America's Best Large Employers

• Forbes® 2023 The Best Employers for New Grads

• Fortune Best Workplaces for Millennials™ 2023

• Fortune Best Workplaces for Women ™ 2023

• Fortune 100 Best Companies to Work For® 2024

• Military Times 2023 Best for Vets Employers

• Newsweek Most Loved Workplaces

• Ripplematch Campus Forward Award - Excellence in Early Career Hiring

• Yello and WayUp Top 100 Internship Programs

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability EOE/AA/M/F/Veteran/Disability

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

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