Jr. Geospatial Research Analyst

SOSi sosi.com Open · verified Oct 24, 2026

Remote United States Full-time Junior Other

At a glance

Junior role at SOSi. Remote, United States · full-time · $49,218–$102,223 base.

SalaryStated by SOSi

$49,218 – $102,223

Base salary for this role, in USD per year, as published in the posting.

RoleOther

SeniorityJunior

LocationUnited States

WorkplaceRemote

EmploymentFull-time

Base pay$49,218–$102,223

PostedJun 29, 2026 · 3mo ago

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Help collect data, maintain geospatial layers, and check GIS datasets for quality
Tag metadata, confirm research sources, and prepare geospatial inputs for initial processing
Refresh dashboards, create maps, and contribute to research documentation
Summarize preprocessing work and metadata alignment in the Geospatial Data Readiness Report

What you bring

You are pursuing or hold a degree in Geography, Geospatial Science, GIS or another listed field
You have at least two years producing geospatial analysis or supporting DoD geospatial and all-source work
You can apply intelligence analysis methods, AI/ML, and data quality and stewardship practices
You can use Esri ArcGIS tools and data stewardship processes to produce and manage data

Who this fits

This junior role suits someone with geospatial research or analysis experience who can support data preparation and map production. The work is remote and requires a strong internet connection and a quiet workspace free from interruptions and background noise. The position depends on a contract award.

From the employer

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.

**This position is contingent upon contract award**

SOSi is seeking a Jr. 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:

Assist in data acquisition, geospatial layer management, and quality control of GIS datasets.
Perform metadata tagging, source verification, and initial processing of geospatial research inputs.
Support dashboard updates, map production, and research documentation efforts.
Contribute to the Geospatial Data Readiness Report, summarizing data preprocessing efforts and metadata alignment.

Minimum Requirements:

Bachelor's degree in progress or completed in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science, Computer Science, Business Analytics or a closely related field or;
- A minimum of two (2) years of experience producing geospatial analytic products in these fields of study or supporting DoD geospatial and all-source analysis, research, and production.
Possess the expertise, knowledge, and capability to apply geospatial analytics and all-source intelligence methodologies, theories, and frameworks; and AI/ML, data quality, enrichment, and stewardship processes and techniques to research to:
- Produce geospatial and all-source intelligence analytic products.
- Steward data using NIST, DoD, IC regulations, policies, and best practices.
- Produce and curate country and regional pages on program.
- Understand analytic requirements.
- Use Esri ArcGIS analytic tools (e.g., ArcGIS Pro, ArcGIS REST API) and other data steward tools, catalogs, techniques, and processes to produce and manage data.

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.

Work Environment