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Geospatial Analytics Jobs (NOW HIRING)

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL

Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science, Computer Science, Business Analytics or a closely related field; or * A minimum of five (5) years of ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science, Computer Science, Business Analytics or a closely related field; or * A minimum of five (5) years of ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science, Computer Science, Business Analytics or a closely related field; or * A minimum of five (5) years of ...

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Use machine learning approaches for remote sensing and agricultural analytics * Produce maps ... Stay current on geospatial technologies, industry trends, and analytical methods Basic ...

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Use machine learning approaches for remote sensing and agricultural analytics * Produce maps ... Stay current on geospatial technologies, industry trends, and analytical methods Basic ...

Lynker Corporation

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Seeking a Geospatial Analyst to support the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (OCM) by performing processing, quality assurance, documentation ...

Lynker Corporation

Geospatial Analyst

Charleston, SC · On-site

$58K - $70K/yr

Lynker is seeking a talented Geospatial Analyst to join our growing team. This role is contingent upon Lynker winning the contract, and an offer will likely not be extended until it is confirmed that ...

NV5

Senior Geospatial Analyst

Sun Prairie, WI · On-site

The Senior Geospatial Analyst provides advanced geospatial analysis and support to meet mission requirements, primarily within a Department of Defense (DoD) or Air Force environment. This position ...

New

Lynker Corporation

Geospatial Analyst

Charleston, SC

Lynker is seeking a talented Geospatial Analyst to join our growing team. This role is contingent upon Lynker winning the contract, and an offer will likely not be extended until it is confirmed that ...

Lynker Corporation

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Overview Seeking a Geospatial Analyst to support the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (OCM) by performing processing, quality assurance ...

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Geospatial Analytics information

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$22K

$77.5K

$122K

How much do geospatial analytics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for geospatial analytics in the United States is $77,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Geospatial Analytics professional, and why are they important?

To thrive in Geospatial Analytics, you need strong spatial analysis skills, proficiency in geographic information systems (GIS), and a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing software, and programming languages like Python or R is typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex spatial data and presenting findings to diverse stakeholders. These skills and qualifications are important for delivering actionable insights that inform decision-making across industries such as urban planning, environmental management, and logistics.

What is a geospatial job?

A geospatial job involves analyzing and interpreting geographic data using tools like GIS (Geographic Information Systems), remote sensing, and spatial analysis software. Professionals in this field work on mapping, spatial data management, and geographic problem-solving to support sectors such as urban planning, environmental management, and transportation.

What is the difference between Geospatial Analytics vs GIS Analyst?

AspectGeospatial AnalyticsGIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; proficiency in spatial analysis toolsBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentData analysis, modeling, and visualization in offices or remote settingsMap creation, data management, and spatial data editing in GIS software environments
Industry UsageUsed across industries like urban planning, environmental science, and transportation for data-driven decisionsPrimarily in government agencies, consulting firms, and environmental organizations for mapping and data management

While both roles involve spatial data, Geospatial Analytics focuses on analyzing and interpreting geographic data to derive insights, whereas a GIS Analyst primarily manages and creates geographic information systems and maps. Both roles often overlap but serve different core functions within the geospatial industry.

What are some common challenges faced by professionals in geospatial analytics, and how can they be addressed?

Professionals in geospatial analytics often encounter challenges such as managing large, complex datasets, ensuring data accuracy, and integrating information from diverse sources. To address these, it's important to develop strong skills in data cleaning, validation, and familiarity with various GIS and remote sensing tools. Collaboration with IT specialists and subject matter experts can also help streamline workflows and improve data integration. Staying updated on the latest industry software and best practices is key to overcoming technical hurdles and delivering actionable insights.

What does a geospatial engineer do?

A geospatial engineer analyzes and interprets geographic data using GIS (Geographic Information Systems), remote sensing, and mapping tools. They develop spatial models, create maps, and support decision-making processes in fields like urban planning, environmental management, and infrastructure development.

What does geospatial mean?

Geospatial refers to data that is related to specific locations on the Earth's surface, often used in geospatial analytics roles to analyze spatial patterns and relationships. It involves working with geographic information systems (GIS), mapping tools, and spatial data analysis techniques to support decision-making and problem-solving.

What is the meaning of geospatial data?

Geospatial data refers to information that identifies the geographic location and characteristics of natural or man-made features on the Earth's surface. In geospatial analytics, this data is used with GIS tools and spatial analysis techniques to interpret patterns, relationships, and trends related to location-based information.

What is geospatial analytics?

Geospatial analytics is the process of gathering, analyzing, and interpreting data that is associated with specific locations on the Earth. It combines geographic information systems (GIS), satellite imagery, GPS data, and other spatial data sources to uncover patterns, relationships, and trends. Geospatial analytics is widely used in fields like urban planning, environmental science, disaster response, and business intelligence to make data-driven decisions based on location-specific insights.
More about Geospatial Analytics jobs
What cities are hiring for Geospatial Analytics jobs? Cities with the most Geospatial Analytics job openings:
What states have the most Geospatial Analytics jobs? States with the most job openings for Geospatial Analytics jobs include:
What job categories do people searching Geospatial Analytics jobs look for? The top searched job categories for Geospatial Analytics jobs are:
Geospatial Analytics jobs near you
Infographic showing various Geospatial Analytics job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $77,494 per year, or $37.3 per hour.

Mid-Level Geospatial Research Analyst

SOSi

Doral, FL

Full-time

Posted 2 hours ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

**This position is contingent upon contract award**

SOSi is seeking a Mid-Level Geospatial Research Analyst to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • Support geospatial data collection, curation, and analysis, ensuring research outputs align with mission objectives.
  • Apply geospatial analytical techniques, including spatial modeling, remote sensing interpretation, and GIS-based risk assessments.
  • Document and validate geospatial data sources, ensuring alignment with metadata governance and interoperability standards.
  • Contribute to the Geospatial Research Insights Report, detailing analytical methodologies and operational applications of geospatial intelligence.
Qualifications

Minimum Requirements:

  • Active TOP SECRET Clearance.
  • Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science, Computer Science, Business Analytics or a closely related field; or
    • A minimum of five (5) years of experience creating geospatial analytic products in these fields of study or supporting DoD geospatial and all-source analysis and production, including supervising analysis, research, and production.
  • Proposed personnel possess the expertise, knowledge, and capability to both apply and lead geospatial analytics and all-source intelligence methodologies, theories, and frameworks; and AI/ML, data quality, enrichment, and stewardship processes and techniques to research to:
    • Develop geospatial and all-source intelligence analytic products.
    • Conduct data stewardship techniques best practices.
    • Collaborate with other data providers and analysts to produce and curate country and regional pages on program.
    • Engage and collaborate with customers to understand analytic requirements.
    • Working knowledge of Esri ArcGIS Enterprise systems and data steward tools, catalogs, techniques, and processes.

Preferred Qualifications:

  • Certifications or training in Esri GIS or related technologies (e.g., ArcGIS Pro, ArcGIS REST API), Python, R, JSON, HTML/XML, SQL, NoSQL, PostgreSQL, Open-Source Intelligence (OSINT), and All-Source Intelligence analytic methodology are advantageous but not required.
Additional Information

Work Environment

  • Normal office conditions.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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