GIS Infrastructure Data Analyst

The National Alliance for Public Safety GIS (NAPSG) Foundation has an immediate opening for a GIS Infrastructure Data Analyst. The ideal candidate is an entry-to-junior level geospatial professional who bridges the gap between traditional mapping and advanced spatial data engineering. We are seeking an analytical thinker who can leverage cloud-native data architectures and geospatial AI workflows to deliver mission-critical decision support to the public safety community. The National Alliance for Public Safety GIS (NAPSG) Foundation is a 501(c)(3) nonprofit organization that was formed in 2005 to overcome the challenges faced by Federal, tribal, state, and local public safety agencies in the adoption and use of geospatial technology as a tool to protect their citizens.

Application instructions:

Must be a U.S. citizen. No phone inquiries will be accepted.

A cover letter, indicating why you are interested in this position, is required to be considered for this role.

JOB TITLE: GIS Infrastructure Data Analyst

JOB DESCRIPTION: The GIS Infrastructure Data Analyst supports NAPSG’s LINK (or Local Infrastructure Network Knowledge) project by applying geospatial analytics, data transformation, infrastructure classification, and repeatable QA/QC workflows. LINK is an AI-enabled geospatial knowledge graph application focused on critical physical infrastructure including utilities, transportation, communications, water, energy, health care, public safety facilities, and other essential services communities rely on before, during, and after emergencies. This role helps prepare, enrich, validate, and integrate real-world infrastructure asset data so it can power LINK’s map, graph, semantic search, and AI-assisted analytic capabilities. The Analyst collaborates with AI engineering, GIS, emergency management, and infrastructure subject-matter experts to turn raw spatial data into accurate, explainable, and reusable infrastructure intelligence. Significant responsibilities include, but are not limited to:

· Support the development, cleaning, transformation, and integration of infrastructure-related GIS datasets.

· Perform geospatial analysis to identify infrastructure asset relationships, proximity-based dependencies, service-area patterns, exposure areas, and potential interdependencies across infrastructure systems.

· Assist with data enrichment workflows that add geographic, governance, response, operational, and infrastructure-domain context to raw asset datasets.

· Help curate, normalize, and validate infrastructure asset classifications across multiple infrastructure data frameworks.

· Prepare GIS datasets for system integration, including geometry validation, attribute standardization, unique identifier creation, schema alignment, and documentation of source data assumptions.

· Support semantic mapping and classification workflows by reviewing AI-generated or embedding-based infrastructure asset matches, validating asset-type predictions, and flagging ambiguous or low-confidence mappings for review.

· Create repeatable geoprocessing, data QA/QC, and analytic workflows using tools such as ArcGIS Pro, ModelBuilder, Python, or similar scripting and automation environments.

· Develop and maintain clear metadata, data dictionaries, processing notes, and QA documentation so datasets remain transparent, auditable, and reusable.

· Collaborate with AI engineering, GIS, emergency management, and infrastructure subject-matter experts to ensure data products are accurate, explainable, and useful for non-technical public safety users.

· Support testing and evaluation by developing realistic infrastructure questions, validating map and graph outputs, reviewing agent responses against source data, and identifying data gaps that affect system performance.

Knowledge and Skills:

· Strong understanding of the lifecycle of GIS and data-driven projects, including data collection, cleaning, transformation, quality control, database management, analysis, documentation, and delivery.

· Ability to understand, document, and implement analytic methodologies, including geospatial analysis, proximity analysis, classification logic, scoring models, and repeatable data processing workflows.

· Experience in scripting analytic workflows using Python, SQL, ModelBuilder, ArcGIS tools, or similar automation environments.

· Ability to translate project goals and analytic questions into practical data requirements, processing steps, QA/QC checks, and defensible outputs.

· Strong attention to data quality, including the ability to identify inconsistencies, gaps, outliers, schema issues, and source-data limitations.

· Ability to create clear metadata, data dictionaries, processing notes, and documentation that make datasets and analytic methods transparent, auditable, and reusable.

· Willingness to learn emerging technologies relevant to LINK, including AI-assisted analysis, semantic classification, graph databases, and knowledge graph concepts.

· Exceptional interpersonal and communication skills, with the ability to collaborate with technical staff, subject-matter experts, project managers, and operational leadership.

· Demonstrated ability to thrive in a fully remote environment, with excellent self-management, personal accountability, and virtual collaboration skills.

· Ability to thrive in a fast-paced, collaborative environment while meeting project deadlines and understanding how assigned tasks relate to broader project goals.

· Ability to prioritize, organize, and perform multiple work assignments simultaneously.

· Exceptional visual, written, and verbal communication skills, problem-solving abilities, and attention to detail.

Minimum Qualifications:

· U.S. citizenship required.

· Bachelor’s degree in Geographic Information Systems (GIS), Computer Science, Remote Sensing, Geography, Data Science, or a related technical discipline.

· 1–3 years of professional or dedicated academic research/internship experience executing spatial analysis and deploying automated data workflows.

Preferred Qualifications:

• Experience within a data-driven or highly structured professional environment (e.g., software development, consulting).
• Experience in public safety, law enforcement, or emergency management domains.
• Familiarity with Scrum, Kanban, and modern DevOps pipelines.
• Strong understanding of modern tech stacks (e.g., cloud infrastructure, APIs, data architecture) to effectively communicate with internal technical teams.

Travel: 3-5 times per year to attend meetings/conferences.

Job Location: This is a fully remote position.

SALARY AND BENEFITS: $70,000-$80,000 annually. This is a full-time, salaried/exempt position with a well-established and reputable public safety nonprofit organization based out of Washington, DC. The remote working position includes paid holidays; health, dental, and vision insurance (50% employer share of premium cost); flexible/unlimited PTO; and the opportunity to participate in a 403(b) program (includes 5% employer contribution). The compensation is competitive and commensurate with educational and professional experience.

Pay: $70,000\.00 - $80,000\.00 per year

Benefits:

• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Retirement plan
• Tuition reimbursement
• Vision insurance

Application Question(s):

• Are you a U.S. citizen?
• Are you okay with the salary range posted for this position?
• Have you attached a cover letter to your application?

Location:

• United States (Required)

Work Location: Remote