Remote Geospatial Data Analyst Jobs
Remote Geospatial Data Analyst jobs are open across the U.S. in government contracting, environmental consulting, urban planning, logistics, and defense, at remote-first firms and distributed enterprise teams alike. Roles range from entry-level GIS analysts to senior spatial data scientists. Employers hiring remotely right now include NV5, Duncan Parnell, and cFocus Software Incorporated. Find a role that fits below and apply directly.
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Showing 5 of 16+ Remote Geospatial Data Analyst jobs
Qualifications:
- Bachelor’s or master’s degree in IT, Computer Science, Geography or a related field.
- 10+ years of relevant professional, internship, academic, military, or project experience in GIS, geospatial analysis, cartography, data management, or location intelligence.
- SME experience using ESRI technology such as ArcGIS Pro, ArcGIS Enterprise/Portal, ArcGIS Online, web maps, hosted feature layers, Dashboards, or comparable GIS tools.
- Understanding of spatial data concepts, coordinate systems, projections, geocoding, vector and raster data, attributes, metadata, data quality, and basic spatial analysis.
- Ability to work with common tabular, JSON, web-service, and geospatial formats and to organize and validate data systematically.
- Basic experience with Python, ArcGIS Notebooks, SQL, Arcade, or another scripting/query language used for data processing or GIS automation.
- Strong attention to detail, analytical reasoning, documentation, organization, communication, and willingness to learn in a collaborative Agile environment.
- Ability to satisfy DHS suitability, background-investigation, Entry on Duty, security, and system-access requirements for the assigned position.
- Acquire, receive, organize, process, update, and maintain geospatial and operational datasets supporting DHS GMO mission programs.
- Prepare data for upload, publication, visualization, analysis, sharing, archival, and retrieval within ESRI Portal, ArcGIS Online, GII repositories, and other approved environments.
- Perform routine geoprocessing, spatial analysis, data conversion, coordinate validation, field mapping, joins, selections, overlays, and other assigned GIS production activities.
- Query and maintain archived geospatial information in open, accessible, and available standards and support applicable data backup, recovery, and records-retention activities.
- Follow established naming conventions, folder and repository structures, versioning practices, access restrictions, and data-handling procedures
- Perform data-quality assurance and quality-control checks for completeness, accuracy, consistency, currency, schema compliance, geometry, attribution, duplication, and usability.
- Document data-quality findings, corrections, assumptions, limitations, source lineage, and unresolved issues; escalate material concerns to senior staff.
- Create and maintain dataset, service, and database metadata in accordance with DHS geospatial methodologies, approved standards, and program procedures.
- Assist with database metadata design, repository maintenance, data dictionaries, field definitions, source descriptions, terms of use, points of contact, and update schedules.
- Support reconciliation of published layers, web services, source data, metadata, and related documentation so that information remains accurate and traceable.
- Design, configure, publish, and maintain web maps, hosted layers, and geospatial services under established technical and governance procedures.
- Configure appropriate symbology, labeling, pop-ups, filters, fields, scales, legends, and other presentation settings to meet user and mission requirements.
- Create and update ArcGIS Dashboards that present real-time information, key performance indicators, status, trends, and operational context.
- Assist with Experience Builder applications and other ESRI web experiences by configuring maps, widgets, data sources, layouts, and user-facing content.
- Validate that published products display accurate information, perform as expected, and support applicable accessibility, security, and user requirements
- Participate in requirements discussions and translate stakeholder data, mapping, visualization, and reporting needs into documented Jira stories, tasks, acceptance criteria, and data specifications.
- Execute assigned manual and automated test cases for data workflows, maps, layers, dashboards, services, and geospatial applications; record results and document defects.
- Support user acceptance, integration, regression, data-quality, and operational testing and verify that corrections meet defined requirements.
- Participate in Agile ceremonies, sprint planning, backlog refinement, demonstrations, reviews, and retrospectives; keep assigned work and blockers current in Jira.
- Use Confluence, GitLab, and other Government-approved tools to maintain documentation, scripts, configuration items, decisions, and work products
3fsEWWoSo0
Qualifications:
- Bachelor’s or master’s degree in IT, Computer Science, Geography or a related field.
- 10+ years of relevant professional, internship, academic, military, or project experience in GIS, geospatial analysis, cartography, data management, or location intelligence.
- SME experience using ESRI technology such as ArcGIS Pro, ArcGIS Enterprise/Portal, ArcGIS Online, web maps, hosted feature layers, Dashboards, or comparable GIS tools.
- Understanding of spatial data concepts, coordinate systems, projections, geocoding, vector and raster data, attributes, metadata, data quality, and basic spatial analysis.
- Ability to work with common tabular, JSON, web-service, and geospatial formats and to organize and validate data systematically.
- Basic experience with Python, ArcGIS Notebooks, SQL, Arcade, or another scripting/query language used for data processing or GIS automation.
- Strong attention to detail, analytical reasoning, documentation, organization, communication, and willingness to learn in a collaborative Agile environment.
- Ability to satisfy DHS suitability, background-investigation, Entry on Duty, security, and system-access requirements for the assigned position.
- Acquire, receive, organize, process, update, and maintain geospatial and operational datasets supporting DHS GMO mission programs.
- Prepare data for upload, publication, visualization, analysis, sharing, archival, and retrieval within ESRI Portal, ArcGIS Online, GII repositories, and other approved environments.
- Perform routine geoprocessing, spatial analysis, data conversion, coordinate validation, field mapping, joins, selections, overlays, and other assigned GIS production activities.
- Query and maintain archived geospatial information in open, accessible, and available standards and support applicable data backup, recovery, and records-retention activities.
- Follow established naming conventions, folder and repository structures, versioning practices, access restrictions, and data-handling procedures
- Perform data-quality assurance and quality-control checks for completeness, accuracy, consistency, currency, schema compliance, geometry, attribution, duplication, and usability.
- Document data-quality findings, corrections, assumptions, limitations, source lineage, and unresolved issues; escalate material concerns to senior staff.
- Create and maintain dataset, service, and database metadata in accordance with DHS geospatial methodologies, approved standards, and program procedures.
- Assist with database metadata design, repository maintenance, data dictionaries, field definitions, source descriptions, terms of use, points of contact, and update schedules.
- Support reconciliation of published layers, web services, source data, metadata, and related documentation so that information remains accurate and traceable.
- Design, configure, publish, and maintain web maps, hosted layers, and geospatial services under established technical and governance procedures.
- Configure appropriate symbology, labeling, pop-ups, filters, fields, scales, legends, and other presentation settings to meet user and mission requirements.
- Create and update ArcGIS Dashboards that present real-time information, key performance indicators, status, trends, and operational context.
- Assist with Experience Builder applications and other ESRI web experiences by configuring maps, widgets, data sources, layouts, and user-facing content.
- Validate that published products display accurate information, perform as expected, and support applicable accessibility, security, and user requirements
- Participate in requirements discussions and translate stakeholder data, mapping, visualization, and reporting needs into documented Jira stories, tasks, acceptance criteria, and data specifications.
- Execute assigned manual and automated test cases for data workflows, maps, layers, dashboards, services, and geospatial applications; record results and document defects.
- Support user acceptance, integration, regression, data-quality, and operational testing and verify that corrections meet defined requirements.
- Participate in Agile ceremonies, sprint planning, backlog refinement, demonstrations, reviews, and retrospectives; keep assigned work and blockers current in Jira.
- Use Confluence, GitLab, and other Government-approved tools to maintain documentation, scripts, configuration items, decisions, and work products
3fsEWWoSo0
See All 16 Remote Geospatial Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Geospatial Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote geospatial data analyst jobs.
- Proficiency in ArcGIS, QGIS, or similar GIS platforms is required
- Experience with Python or R for spatial data processing and analysis
- Bachelor's degree in geography, geospatial science, computer science, or a related field
- Familiarity with remote sensing tools and satellite or aerial imagery interpretation
- Knowledge of spatial databases such as PostGIS or SQL for geospatial queries
- Experience with data visualization tools or web mapping frameworks like Leaflet or Mapbox
Tips for Your Remote Geospatial Data Analyst Job Search
Build a public portfolio of spatial work
Remote geospatial employers can't watch you work, so your GitHub, ArcGIS Online, or personal site does the talking. Publish spatial analyses, Python scripts for raster processing, or interactive web maps built with Leaflet or Mapbox to show output quality before the interview.
Apply early to remote roles that fit
Migrate Mate lists remote geospatial data analyst openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through postings mixed with on-site work.
Demonstrate async communication in applications
Remote geospatial teams coordinate almost entirely in writing. Your cover letter and any take-home exercise should show you can explain a spatial methodology, a dataset limitation, or a findings summary clearly in text, since that is what distributed managers screen for.
Match your tools to the posting's tech stack
Remote geospatial roles split sharply between Esri-heavy environments and open-source stacks using QGIS, PostGIS, and Python. Read each posting carefully and lead your application with the specific tools listed, whether that is ArcPy, GeoPandas, Google Earth Engine, or cloud spatial services.
Remote Geospatial Data Analyst Jobs: Frequently Asked Questions
How do I get a remote geospatial data analyst job?
Target remote-first consulting firms, defense contractors, and environmental tech companies, since those sectors post the most distributed geospatial roles. Remote employers screen for proficiency in ArcGIS, QGIS, Python, and cloud spatial platforms like AWS or Google Earth Engine, plus the ability to communicate analysis clearly in writing. A portfolio of published maps, spatial models, or GitHub projects shows self-direction and gives you a concrete edge over candidates who only list tools.
Which companies hire remote geospatial data analysts?
Remote geospatial data analyst roles are posted by NV5, Duncan Parnell, and cFocus Software Incorporated and others right now, based on current remote listings on Migrate Mate as of November 2026. The employers hiring most consistently are remote-first consulting firms, federal contractors, and environmental and logistics companies that run distributed technical teams.
Can you get a remote geospatial data analyst job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently with minimal hand-holding from day one. Environmental nonprofits, small GIS consulting firms, and civic tech organizations post the most accessible remote junior roles. A portfolio of personal mapping projects, open-source contributions, or volunteer GIS work for local governments can substitute for direct experience and show remote employers you can deliver without supervision.
Do you need a degree for remote geospatial data analyst jobs?
Not always. Many remote employers care more about demonstrated skills in spatial analysis, Python or R, and tools like ArcGIS Pro or PostGIS than about a specific credential. A portfolio of real geospatial projects, relevant certifications like GISP or Esri Technical Certifications, and a history of shipping clean, documented work can open doors that a degree alone would not, particularly at smaller remote-first firms.
Which industries hire the most remote geospatial data analysts?
Most remote geospatial data analyst openings sit in Consulting & Professional Services, per current remote listings on Migrate Mate as of November 2026. Those sectors rely heavily on distributed technical teams that process location data without needing analysts on-site.
See All 16 Remote Geospatial Data Analyst Jobs
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