The Senior Business Intelligence Analyst (Geospatial / ArcGIS Specialist) delivers advanced geospatial analytics and location intelligence that inform enterprise branching strategy, market expansion, and network optimization. This role combines GIS, spatial analytics, data analytics, and business intelligence to develop scalable geospatial datasets, models, and visualizations that support branch, ATM, and market planning.

Working with a high degree of independence, the analyst partners with business leaders, data teams, and technology stakeholders to translate complex spatial and business data into actionable insights and enterprise GIS solutions that influence operational and strategic decisions.

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.

This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.

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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 medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. 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.

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The Senior Business Intelligence Analyst (Geospatial / ArcGIS Specialist) delivers advanced geospatial analytics and location intelligence that inform enterprise branching strategy, market expansion, and network optimization.

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• 5–7+ years of experience in geospatial analytics, GIS, and business intelligence
• Advanced proficiency with Esri platform including ArcGIS Pro and ArcGIS Enterprise (geodatabases, services, dashboards, StoryMaps)
• Strong SQL skills and experience working with spatial databases
• Proficiency with programing languages such as Python and R for geospatial or statistical analysis
• Experience integrating GIS with BI and data platforms (Tableau, Power BI, Databricks, or similar)
• Strong understanding of spatial data models, projections, and geospatial data management
• Experience building spatial models (drive-time, trade area, clustering, site selection, or similar)
• Strong analytical and problem-solving skills with ability to translate insights into business recommendations
• Ability to operate effectively in ambiguous or evolving problem spaces, structuring analyses and solutions with limited direction or incomplete data
• Experience communicating technical concepts to non-technical and senior audiences
• Proven ability to manage multiple priorities and work independently
• Ability to take initiative with sound business judgement
• Research and technical writing skills
• Proactive problem-solving skills
• Excellent communication, data storytelling, and technical presentation skills
• Interpersonal skills to support collaboration and relationship building
• Bachelor’s degree in GIS, Geospatial Science, Data Analytics, Statistics, or related quantitative field

Desired Qualifications

• Experience in enterprise GIS environments and ArcGIS Enterprise deployment or administration
• Experience with predictive location modeling, predictive analytics, and forecasting
• Experience integrating GIS with cloud or data lake platforms
• Esri Technical Certification or similar GIS certification
• Master’s degree in GIS, Geospatial Science, Geospatial Analytics, Geo-Informatics, Data Science, or related field
• Experience in financial services, retail network planning, or location strategy analytics

Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180

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• Design and deliver advanced geospatial analyses to support market prioritization, network optimization, and strategic planning initiatives
• Develop spatial models such as drive-time, coverage, clustering, trade area, and site suitability analyses
• Integrate internal and external spatial datasets to generate actionable location insights and forecasts
• Develop, maintain, and optimize geospatial datasets, services, and workflows within ArcGIS Pro and ArcGIS Enterprise
• Manage geodatabases, spatial data pipelines, and data quality processes to ensure accuracy, consistency, and scalability
• Integrate GIS with enterprise data platforms (SQL, Databricks, BI tools) to enable repeatable analytics and dashboards
• Create high-impact geospatial dashboards, maps, and data stories using ArcGIS Dashboards, StoryMaps, Tableau, and Power BI
• Translate complex spatial and statistical analyses into clear insights for senior and non-technical audiences
• Produce executive-ready analyses that support planning, investment, and operational decisions
• Collaborate with stakeholders to define analytical requirements and translate business questions into geospatial solutions
• Provide data-driven recommendations that influence network, market, and operational strategy
• Lead or contribute to cross-functional analytics and GIS initiatives
• Apply spatial statistics, predictive modeling, and advanced analytics techniques
• Promote GIS best practices, data standards, and scalable geospatial methodologies
• Identify opportunities to automate and modernize geospatial analytics capabilities
• Develop executive-ready map packages and cartographic deliverables that communicate insights for market analysis, site selection, and network planning