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Technology Product Analyst

Fa Etbx Saasfaprod1 Open
Hybrid Vienna Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Fa Etbx Saasfaprod1. Vienna · full-time · no salary stated · we estimate $86,000–$135,000 across the United States.

Estimated pay

Fa Etbx Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.

$86,000 – $135,000
What the middle half of mid-level data analysis & BI roles in the United States paid, among postings that did state a salary.
Worked out from 964 postings that stated pay, median $105,500. Last updated Nov 13, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationVienna
WorkplaceHybrid
EmploymentFull-time
PostedNov 2, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Turn stakeholder discussions about business processes and data needs into documented technical requirements and workable solution components
  • Write, test, and maintain Python and SQL code for data quality, metadata, lineage, governance, and automation work
  • Build and improve cloud data pipelines, integrations, APIs, and reusable utilities, then help debug and deploy them
  • Review quality and observability findings with stakeholders and strengthen controls, monitoring, exception reporting, and metadata
  • Support code reviews, automated tests, production issues, data access tasks, and ongoing solution improvements

What you bring

  • A relevant bachelor's degree or an equivalent mix of education, training, and experience
  • Typically five to eight years in a relevant technical field, such as data engineering, software development, or technology product analysis
  • Experience turning business stakeholder needs into technical work, plus hands-on development, testing, deployment, and support
  • Proficiency in Python and SQL, with working knowledge of pipelines, APIs, source control, automated testing, and CI/CD
  • Understanding of cloud data environments and data governance, security, and management principles

Who this fits

This mid-level role suits someone who can move between stakeholder requirements and hands-on technical delivery, while working with senior colleagues on complex decisions. The schedule is Monday through Friday, 8:00 a.m. to 4:30 p.m., at the Vienna, Virginia location. You must already be authorized to work in the United States without current or future sponsorship.

From the employer

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.

  • 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.
  • 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
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.