Technology Product Analyst

Navy Federal Credit Union

. Build effective working relationships with business units, data stewards, and technology teams to understand business processes, data usage, challenges, and desired outcomes .

Posted 11/3/2026full-timeVienna • Virginia • United StatesMid-LevelSenior💰 $97,100 - $143,150 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python and SQL for developing and maintaining data solutions, with a strong focus on data governance, quality, and integration across cloud platforms. Proven ability to translate business requirements into technical specifications while fostering effective communication between technical teams and business stakeholders.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData GovernanceCloud Data PlatformsData Quality Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSoftware DevelopmentAutomated TestingCI/CD PracticesData PipelinesAPIsDebuggingData ModelingMetadata ManagementData Security

Soft Skills

Strong CommunicationRelationship BuildingAnalytical SkillsProblem-SolvingCollaboration

Tools & Technologies

Microsoft AzureDatabricksAtaccamaAlationCollibraGitErwinHackolade

Industry Keywords

Data AnalyticsInformation SecurityData ManagementData QualityData Lineage

Tech Stack

Tools & technologies

AzureCloudJavaPythonScalaSQLUnity

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
Applicants must be authorized to work in the United States without the need for current or future sponsorship

Benefits

Comp & perks

Highly competitive pay
Generous benefits and perks