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Mid-Level Geospatial Research Analyst

Pay
Pay not listedSimilar roles state $95K–$144K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Citizens onlyActive TOP SECRET Clearance

What you’ll work on

Full posting
  • Support geospatial data collection, curation, and analysis

  • Apply spatial modeling, remote sensing interpretation, and GIS-based risk assessments

  • Document and validate geospatial data sources against metadata and interoperability standards

  • Contribute to the Geospatial Research Insights Report on methods and applications

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • Active TOP SECRET clearance
  • Bachelor's degree in geography, GIS, remote sensing, or a closely related field, or 5+ years of geospatial analytic…
  • Working knowledge of Esri ArcGIS Enterprise and data steward tools
Qualification wording
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
Working knowledge of Esri ArcGIS Enterprise systems and data steward tools, catalogs, techniques, and processes.
Education & alternatives
- 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.
Apply at SOSi

Posting record

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Open 4 monthsWe first saw this posting 127 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 30, 2026127 days ago
Recorded sightings
269
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.7K–$144K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 127

Up longer than most. Similar jobs usually come down between day 5 and day 41.

From 10,535 similar postings that came down. Coming down is not always a hire.

SOSi is hiring

30 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 13% of open jobs were reposted
Hiring record

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  • Python
  • R
  • SQL
  • NoSQL
  • PostgreSQL
Where the posting names them
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

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Job description

View original posting ↗

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.

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.

Source details

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Pay

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Location & working pattern

Doral, FL, United States

- 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.
More source context
- 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.
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