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Technology Product Analyst

Navy Federal Credit Union

Hybrid in Vienna, Virginia • Today

Navy Federal Credit Union

Job Details

Skills

Programming Languages
Prototyping
Root Cause Analysis
Reporting
Identity Management
Data Structure
Software Design
Security Engineering
Information Security
Computer Science
Information Systems
Training
Product Analysis
Data Engineering
Software Development
Data Analysis
Business Process
Facilitation
Relationship Building
Testing
Debugging
Python
SQL
Java
Scala
Cloud Computing
Data Lake
Data Warehouse
Microsoft Azure
Git
Version Control
Automated Testing
Continuous Integration
Continuous Delivery
Data Quality
Meta-data Management
Databricks
Unity
Data Governance
Data Security
Data Management
Data Modeling
ERwin
Requirements Analysis
Documentation
Collaboration
Production Support
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Management
Preventive Maintenance
Project Management
Performance Management
Military
IP
Intellectual Property
Media
SAP BASIS
Law
Recruiting

Programming Languages
Prototyping
Root Cause Analysis
Reporting
Identity Management
Data Structure
Software Design
Security Engineering
Information Security
Computer Science
Information Systems
Training
Product Analysis
Data Engineering
Software Development
Data Analysis
Business Process
Facilitation
Relationship Building
Testing
Debugging
Python
SQL
Java
Scala
Cloud Computing
Data Lake
Data Warehouse
Microsoft Azure
Git
Version Control
Automated Testing
Continuous Integration
Continuous Delivery
Data Quality
Meta-data Management
Databricks
Unity
Data Governance
Data Security
Data Management
Data Modeling
ERwin
Requirements Analysis
Documentation
Collaboration
Production Support
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Management
Preventive Maintenance
Project Management
Performance Management
Military
IP
Intellectual Property
Media
SAP BASIS
Law
Recruiting

Summary

Overview

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

Partner with Enterprise Data Governance stakeholders, business units, and technology teams to understand business processes and data needs and translate them into practical technical solutions. This role combines business engagement with hands-on technical contribution. The analyst will develop, test, implement, and support solutions that improve data quality, observability, metadata, lineage, and governance across cloud data platforms, while working with senior team members on complex design and implementation decisions.

Responsibilities

Build effective working relationships with business units, data stewards, and technology teams to understand business processes, data usage, challenges, and desired outcomes.
Participate in discovery discussions, ask relevant questions, document requirements, and translate business needs into clear technical requirements and solution components.
Communicate technical concepts, solution options, dependencies, and issues in clear business language, and help technical teams understand the business context and impact.
Develop, test, document, and maintain code using Python, SQL, and other applicable programming languages to support data governance, data quality, metadata, lineage, and automation capabilities.
Build and enhance data pipelines, integrations, APIs, and reusable utilities across cloud data platforms with guidance as needed.
Contribute hands-on to solution implementation, including prototyping, debugging, root-cause analysis, code reviews, automated testing, deployment activities, production support, and ongoing enhancements.
Analyze data quality and observability results and contribute to improvements in controls, monitoring, and exception reporting for enterprise cloud data stores.
Work with business stakeholders and data stewards to collect and enrich metadata, document data lineage, and define data quality requirements.
Support data access management activities that help protect sensitive and Navy Federal member data.
Work with data analysts, data modelers, engineers, and functional subject matter experts to understand data structures and contribute to technical solution design.
Follow established security, engineering, documentation, testing, and Information Security practices when implementing and supporting solutions.
Perform other duties as assigned.

Qualifications

Bachelor's degree in computer science, information systems, data analytics, or a related field, or the equivalent combination of education, training, and experience.
Typically 5-8 years of relevant experience in technology product analysis, data engineering, software development, data analytics, or a related technical discipline.
Experience working directly with business stakeholders to understand business processes, document data needs, and translate requirements into implementable technical solutions.
Strong communication, facilitation, and relationship-building skills, including the ability to explain technical concepts to non-technical stakeholders.
Hands-on experience developing, testing, debugging, deploying, and supporting code in an enterprise environment.
Proficiency in Python and SQL; exposure to Java, Scala, or a similar programming language is a plus.
Experience working with cloud-based data lake, data warehouse, or data hub environments; experience with Microsoft Azure or Databricks is preferred.
Working knowledge of data pipelines, APIs, Git-based source control, automated testing, and CI/CD practices.
Experience with data quality, observability, or monitoring; familiarity with Ataccama or a similar platform is preferred.
Exposure to metadata, lineage, or data catalog tools such as Alation, Databricks Unity Catalog, Collibra, or similar platforms is preferred.
Working knowledge of data governance, data security, and data management principles.
Exposure to data modeling concepts or tools such as Erwin or Hackolade is a plus.
Curiosity, initiative, and willingness to work through technical details, investigate issues, and contribute to implementation and support.
Ability to balance hands-on development with requirements analysis, documentation, stakeholder collaboration, and production support.
Strong analytical, problem-solving, verbal, and written communication skills.
Ability to manage assigned priorities, seek guidance when needed, and contribute effectively in a collaborative environment.

Additional Information

Hours:

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

Location:

820 Follin Lane, Vienna, VA 22180

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.

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

Military Times 2025 Best for Vets Employers

Forbes 2026 America's Best Large Employers

Forbes 2025 America's Best Employers for New Grads

Forbes 2025 America's Best Employers for Tech Workers

2025 RippleMatch Campus Forward Award Winner for Overall Excellence

Military.com Top Military Spouse Employers 2025

2026 Handshake Early Talent Award

Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026

From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at or by calling 1-. This team cannot provide any information on job postings or application status.

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. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10117743
Position Id: 33203
Posted 7 days ago

Company Info

About Navy Federal Credit Union

MAKE OUR MISSION YOUR PASSION

In all we do at Navy Federal Credit Union, we are guided by one strong focus: our mission to serve our members. Each of us brings our own unique talents, ideas, and perspectives on life, finding innovative ways to provide our members with what they need.

Navy Federal is the world's largest credit union, with more than 15 million members, $200 billion in assets and 25,000+ employees. Throughout campuses in Vienna, VA; Winchester, VA; Pensacola, FL and San Diego, CA, as well as more than 390 branches, we serve the Armed Forces, Department of Defense, Veterans and their families with world-class financial products and services.

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.

Mission: As a member-owned and not-for-profit credit union, Navy Federal's mission is to always put members first. Each area of the credit union operates with the same purpose in mind: making members' financial goals the top priority. We're honored to serve those who serve: DoD and Coast Guard Active Duty, Veterans, retirees, civilians and their families.

Equal Opportunity Employer, including disability/vets. Image used for representational purposes only; does not imply government endorsement.

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Fitment

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Hybrid in Vienna, Virginia

•

Today

Overview The Fraud Data Engineering team, within the Fraud & Global Security Division, delivers reliable, scalable, and secure data solutions that power fraud detection, prevention, analytics, and decision-making across Navy Federal Credit Union. Our mission is to enable data-driven fraud strategies by providing high-quality data, modern data platforms, and engineering solutions that support Fraud Operations, Fraud Strategy & Reporting, Fraud Detection, Fraud Data Science and Machine Learning mo

Full-time

ETS Principal Solution Engineer-Member Master Data Management

Hybrid in Vienna, Virginia

•

Today

Overview 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. To support Navy Federal's Cloud Core Banking modernization efforts, we are seeking an experienced Principal Solution Engineer to lead the design and implementation of the Member Master Data Management platform, a strategic capability focused on establishing trusted, authoritative member information

Full-time

$147,600-$189,400 per year

Senior Data Scientist

Hybrid in Vienna, Virginia

•

Today

Overview 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. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and proces

Full-time

$100,400-$157,400 per year

Summer Associate Internship (Data Scientist)

Hybrid in Vienna, Virginia

•

Today

Overview The Membership & Deposit Products Data Science team leads the development of predictive modeling solutions and capabilities, driving in-depth understanding of our members' behaviors and engagement with our deposit products. The Summer Associate will help support the team's data science efforts by creating impactful models that will drive product take-up or further our understanding of how members engage with our deposit products. Products include certificates of deposits, money market a

Full-time

Navy Federal Credit Union

Job Details

Skills

Programming Languages
Prototyping
Root Cause Analysis
Reporting
Identity Management
Data Structure
Software Design
Security Engineering
Information Security
Computer Science
Information Systems
Training
Product Analysis
Data Engineering
Software Development
Data Analysis
Business Process
Facilitation
Relationship Building
Testing
Debugging
Python
SQL
Java
Scala
Cloud Computing
Data Lake
Data Warehouse
Microsoft Azure
Git
Version Control
Automated Testing
Continuous Integration
Continuous Delivery
Data Quality
Meta-data Management
Databricks
Unity
Data Governance
Data Security
Data Management
Data Modeling
ERwin
Requirements Analysis
Documentation
Collaboration
Production Support
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Management
Preventive Maintenance
Project Management
Performance Management
Military
IP
Intellectual Property
Media
SAP BASIS
Law
Recruiting

Programming Languages
Prototyping
Root Cause Analysis
Reporting
Identity Management
Data Structure
Software Design
Security Engineering
Information Security
Computer Science
Information Systems
Training
Product Analysis
Data Engineering
Software Development
Data Analysis
Business Process
Facilitation
Relationship Building
Testing
Debugging
Python
SQL
Java
Scala
Cloud Computing
Data Lake
Data Warehouse
Microsoft Azure
Git
Version Control
Automated Testing
Continuous Integration
Continuous Delivery
Data Quality
Meta-data Management
Databricks
Unity
Data Governance
Data Security
Data Management
Data Modeling
ERwin
Requirements Analysis
Documentation
Collaboration
Production Support
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Management
Preventive Maintenance
Project Management
Performance Management
Military
IP
Intellectual Property
Media
SAP BASIS
Law
Recruiting

Summary

Build effective working relationships with business units, data stewards, and technology teams to understand business processes, data usage, challenges, and desired outcomes.
Participate in discovery discussions, ask relevant questions, document requirements, and translate business needs into clear technical requirements and solution components.
Communicate technical concepts, solution options, dependencies, and issues in clear business language, and help technical teams understand the business context and impact.
Develop, test, document, and maintain code using Python, SQL, and other applicable programming languages to support data governance, data quality, metadata, lineage, and automation capabilities.
Build and enhance data pipelines, integrations, APIs, and reusable utilities across cloud data platforms with guidance as needed.
Contribute hands-on to solution implementation, including prototyping, debugging, root-cause analysis, code reviews, automated testing, deployment activities, production support, and ongoing enhancements.
Analyze data quality and observability results and contribute to improvements in controls, monitoring, and exception reporting for enterprise cloud data stores.
Work with business stakeholders and data stewards to collect and enrich metadata, document data lineage, and define data quality requirements.
Support data access management activities that help protect sensitive and Navy Federal member data.
Work with data analysts, data modelers, engineers, and functional subject matter experts to understand data structures and contribute to technical solution design.
Follow established security, engineering, documentation, testing, and Information Security practices when implementing and supporting solutions.
Perform other duties as assigned.

Qualifications

Bachelor's degree in computer science, information systems, data analytics, or a related field, or the equivalent combination of education, training, and experience.
Typically 5-8 years of relevant experience in technology product analysis, data engineering, software development, data analytics, or a related technical discipline.
Experience working directly with business stakeholders to understand business processes, document data needs, and translate requirements into implementable technical solutions.
Strong communication, facilitation, and relationship-building skills, including the ability to explain technical concepts to non-technical stakeholders.
Hands-on experience developing, testing, debugging, deploying, and supporting code in an enterprise environment.
Proficiency in Python and SQL; exposure to Java, Scala, or a similar programming language is a plus.
Experience working with cloud-based data lake, data warehouse, or data hub environments; experience with Microsoft Azure or Databricks is preferred.
Working knowledge of data pipelines, APIs, Git-based source control, automated testing, and CI/CD practices.
Experience with data quality, observability, or monitoring; familiarity with Ataccama or a similar platform is preferred.
Exposure to metadata, lineage, or data catalog tools such as Alation, Databricks Unity Catalog, Collibra, or similar platforms is preferred.
Working knowledge of data governance, data security, and data management principles.
Exposure to data modeling concepts or tools such as Erwin or Hackolade is a plus.
Curiosity, initiative, and willingness to work through technical details, investigate issues, and contribute to implementation and support.
Ability to balance hands-on development with requirements analysis, documentation, stakeholder collaboration, and production support.
Strong analytical, problem-solving, verbal, and written communication skills.
Ability to manage assigned priorities, seek guidance when needed, and contribute effectively in a collaborative environment.

Additional Information

Hours:

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

Location:

820 Follin Lane, Vienna, VA 22180

Dice Id: 10117743
Position Id: 33203
Posted 7 days ago

Company Info

About Navy Federal Credit Union

MAKE OUR MISSION YOUR PASSION

Our approach to careers is simple yet powerful: Make our mission your passion.

Equal Opportunity Employer, including disability/vets. Image used for representational purposes only; does not imply government endorsement.

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Hybrid in Vienna, Virginia

•

Today

Full-time

ETS Principal Solution Engineer-Member Master Data Management

Hybrid in Vienna, Virginia

•

Today

Full-time

$147,600-$189,400 per year

Senior Data Scientist

Hybrid in Vienna, Virginia

•

Today

Overview 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. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and proces

Full-time

$100,400-$157,400 per year

Summer Associate Internship (Data Scientist)

Hybrid in Vienna, Virginia

•

Today

Full-time

Technology Product Analyst

Skills

Summary

Dice Job Match Score™

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Technology Product Analyst

Navy Federal Credit Union

Job Details

Skills

Summary

Company Info

About Navy Federal Credit Union

Dice Job Match Score™

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