About The Position

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.

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.

Nice To Haves

  • 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.

Responsibilities

  • 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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service