Mid-Level Geospatial Research Analyst

Requirements

• 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
• Normal office conditions.
• Working at SOSi
• All interested individuals will receive consideration and will not be discriminated against for any reason.

Benefits

Additional Information

**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. 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.

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