Source Analyst - Mid

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can:
Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person
, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR:
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with an in-scope CI poly
.

We're hiring multiple All Source Analysts to join our team, which works directly with U.S. Government customers to conduct analysis using intelligence and information from multiple sources to assess, interpret, forecast, and explain a range of national security issues and developments that are regional or functional in nature. Analysts will support Object-Based Intelligence (OBI) production efforts. Analysts will contribute to the development and refinement of ontologies that feed into the Defense Intelligence Core Ontology (DICO), enabling structured, interoperable, and automated intelligence workflows.

This role requires a blend of traditional analytic tradecraft with modern data science, spatial-temporal reasoning, and structured methodologies to support mission-critical insights.

• Provide all-source analytic support to collections, operations, investigations, and other defense intelligence analytic requirements.
• Perform network analysis to map and understand complex threat networks.
• Support the identification of key nodes, relationships, and vulnerabilities.
• Conduct all-source analysis using multi-domain intelligence to assess and forecast regional or functional national security issues.
• Develop and apply ontologies to structure intelligence data in support of OBI production and semantic interoperability.
• Integrate structured analytic methods that comply with IC tradecraft standards (e.g., ICD 203) and document analytic workflows to support automation and repeatability.
• Perform spatial and temporal analysis to identify patterns, trends, and anomalies across geospatial and time-series data.
• Collaborate with data scientists and engineers to apply machine learning, natural language processing, and statistical techniques to intelligence problems.
• Support network analysis to map threat networks, identify key nodes, and assess vulnerabilities.
• Contribute to the design and implementation of data models and knowledge graphs for intelligence integration.

• Must be a US citizen and have an active TS/SCI with CI poly.
• 8 years of experience and a related Bachelor's degree
• Strong oral and written communication skills.
• Experience supporting OBI production and working with Defense Intelligence ontologies.
• Experience with geospatial tools (e.g., ArcGIS, QGIS) and temporal analysis frameworks.

• Experience with CTD data.
• Familiarity with ontology development tools (e.g., Protege) and semantic web technologies (e.g., OWL, RDF, SPARQL).
• Experience developing and employing strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs.
• Demonstrated experience in solving problems with structured and unstructured data.
• Experienced in applying statistical and data visualization skills.
• Strong problem-solving skills to manipulate data and draw insights from large data sets.
• Ability to lead multidisciplinary…