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Spatial Data Analyst Jobs (NOW HIRING)

Spatial Data Logic

GIS Coordinator

You'll ensure local government agencies can analyze, visualize, and act on spatial data to make better decisions, meet regulatory requirements, and serve their communities effectively. Key ...

OMS Group

GIS and Data Specialist

Pleasant Hill, CA · On-site

$28 - $35/hr

We are seeking a skilled and detail-oriented Spatial & Data Analyst to support project execution through spatial analysis, data management, and performance reporting. This role focuses on enabling ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Familiarity with marine spatial data * 5+ years of documented GIS experience using ESRI and open ... Analyst will have the following: * Marine science background * Experience with ESRI Portal ...

RecruitTalent LLC.

GIS Analyst

Suffolk, VA · On-site

We are seeking a skilled GIS Analyst to manage and analyze spatial data to support decision-making processes. The ideal candidate will have at least 5 years of professional experience, a bachelor ...

Dev Technology

Senior Data Analyst

Vienna, VA

$86.30K - $108.90K/yr

Conduct spatial data analysis using GIS software (ArcGIS) * Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. * Design and ...

Atlanta Regional

Data Analyst, Senior

Atlanta, GA · On-site +1

$64.67K - $87.30K/yr

Design and maintain spatial databases; produce thematic maps, geocoded datasets, raster analyses ... Data Programming & Automation: Write and maintain scripts in Python and/or R to collect, clean ...

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How much do spatial data analyst jobs pay per year?

As of May 31, 2026, the average yearly pay for spatial data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Spatial Data Analyst do?

A Spatial Data Analyst collects, analyzes, and interprets geographic and spatial data to support decision-making in various industries. They use Geographic Information Systems (GIS) and other analytical tools to visualize patterns, create maps, and develop models based on spatial data. Their work helps businesses, governments, and organizations optimize operations, plan infrastructure, and manage resources effectively.

What are the key skills and qualifications needed to thrive in the Spatial Data Analyst position, and why are they important?

To thrive as a Spatial Data Analyst, you need strong skills in GIS (Geographic Information Systems), spatial data analysis, database management, and a solid understanding of geography or related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, SQL, Python, and sometimes certifications such as GISP are highly valuable. Attention to detail, problem-solving abilities, and effective communication enhance collaboration with teams and stakeholders. These competencies ensure accurate spatial analysis, meaningful data-driven insights, and effective decision-making in diverse industries.

What are some typical projects or tasks a Spatial Data Analyst might work on?

Spatial Data Analysts often work on a variety of projects involving the collection, management, and analysis of geographic data, such as mapping environmental patterns, optimizing logistics routes, or supporting urban planning initiatives. On a daily basis, they may clean and process datasets, generate detailed maps, create visualizations and reports, and provide insights to inform project decisions. Collaboration with engineers, urban planners, environmental scientists, and IT professionals is common, making teamwork and clear communication essential. These tasks are integral to helping organizations make data-driven decisions that rely on spatial information.
More about Spatial Data Analyst jobs
What cities are hiring for Spatial Data Analyst jobs? Cities with the most Spatial Data Analyst job openings:
What are the most commonly searched types of Spatial Data Analyst jobs? The most popular types of Spatial Data Analyst jobs are:
What states have the most Spatial Data Analyst jobs? States with the most job openings for Spatial Data Analyst jobs include:
What job categories do people searching Spatial Data Analyst jobs look for? The top searched job categories for Spatial Data Analyst jobs are:
Spatial Data Analyst jobs near you
Infographic showing various Spatial Data Analyst job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 91% Physical, 7% Hybrid, and 2% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
GIS Coordinator

GIS Coordinator

Spatial Data Logic

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

About GovPilot:
GovPilot provides cloud-based software solutions to local governments, aiming to make our communities better places to live and work. As a mission-driven company, GovPilot is committed to creating impactful technology that serves the public good.
We are looking for team members who take pride in their work and seek to consistently improve themselves, their skills, and their knowledge. If this sounds like you-and the type of work environment where you'd thrive-we hope you'll join us!
We offer flexible remote work options and are primarily based in the US East Coast time zone. You do not have to relocate to join GovPilot!
What We Offer:
  • Competitive salary.
  • Unlimited PTO.
  • Flexible working hours and remote work options.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) with 4% employer match for eligible team members.
  • Professional development opportunities and learning budget.
  • Home office and IT budget.
  • Supportive team environment.
  • The chance to work on innovative projects with cutting-edge technologies.

About the Role:
As a GIS Coordinator focused on municipal clients, you will design, build, and maintain spatial systems, geodata, and mapping tools that support critical workflows such as permitting, zoning, land use, infrastructure planning, asset management, inspections, and field operations. You'll ensure local government agencies can analyze, visualize, and act on spatial data to make better decisions, meet regulatory requirements, and serve their communities effectively.
Key Responsibilities:
  • Architect, deploy, and maintain spatial databases and GIS platforms tailored to municipal workflows (e.g., zoning, permits, infrastructure parcels, street networks, utilities, code enforcement).
  • Ensure spatial data model integrity: enforce consistent schemas, metadata standards, coordinate systems, projection accuracy, topologies, and data quality controls.
  • Integrate GIS with other government / enterprise systems (e.g. permitting/licensing platforms, work-order management, public works systems, asset management, citizen portals, CRM/ERP).
  • Build and maintain geoprocessing routines, spatial analytics (e.g. buffer analysis, overlays, proximity, network/travel time, slope/terrain, watershed, risk zones), and spatial modeling to support planning, inspections, compliance, and service delivery.
  • Develop scripts, workflows or automated processes to ingest, clean, validate, and update spatial datasets (Python, SQL, ETL tools, APIs).
  • Produce high-quality maps, dashboards, visualizations, and spatial reports for internal stakeholders, city planners, elected officials, and the public as needed.
  • Support field data collection and integration (mobile GIS, GPS, tablets, inspections, as-built surveys), ensuring accuracy and consistency.
  • Collaborate with planning, permitting/licensing, public works, utilities, code/enforcement, and IT teams to translate their requirements into technical spatial solutions.
  • Provide training, documentation, and technical support to non-GIS users (inspectors, planners, engineers, administrators) so they can effectively use spatial tools and interpret data.
  • Stay current with GIS, remote sensing, LiDAR, and municipal data best practices; recommend improvements, governance, and standards to support scalability, performance, and compliance.

Required & Preferred Qualifications:
  • Bachelor's degree in Geography, Geomatics, Civil/Environmental Engineering, Urban Planning, Computer Science, or related field - preferred
  • Hands-on experience working with GIS platforms (e.g. ArcGIS Pro / Enterprise, ArcGIS Online, QGIS, PostGIS, geodatabase design). - required
  • Proficiency in scripting, geoprocessing, and data automation tasks (Python, SQL, or other relevant tools) - required
  • Strong familiarity with spatial data quality, coordinate systems, projections, metadata, and topology - required
  • Experience engaging with municipal or public-sector clients (planning, permitting, infrastructure, utilities, public works) - preferred
  • Excellent communication skills; able to bridge technical and non-technical audiences (planners, engineers, inspectors, administrators, elected officials) - required
  • Experience with mobile GIS / field data collection workflows (GPS, tablets, inspections) - preferred
  • Knowledge of infrastructure data types (roads, utilities, parcels, zoning layers, stormwater, flood zones, etc.) - required
  • Certification (e.g. GISP) or relevant training - preferred

Why Join Us:
GovPilot's Data Migration team sits at the heart of every new customer implementation. Your work is what makes go-live possible. You'll work on a growing, technically ambitious team that is actively investing in modern tooling and AI-driven automation to move away from manual processes and toward scalable infrastructure. If you're someone who wants to build real systems that solve real problems, at a company where your work has a direct and visible impact on the communities we serve, this is the place to do it.
Please note: GovPilot is unable to sponsor or take over sponsorship of an employment visa at this time.
Equal Opportunity Employer:
GovPilot is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. It's important to us that our workforce reflects people of all backgrounds, identities, and experiences and by providing this data, if you choose to, it will help us to stay accountable.
Join us in creating amazing technology solutions that make a difference. Apply today!

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