Leidos is actively interviewing for a Senior Geospatial Intelligence Analyst to join our team in Springfield, VA.The Senior Geospatial Intelligence Analyst is a subject matter expert responsible for leading advanced geospatial analysis, supporting intelligence production, and providing actionable insights through the integration of big data, structured data, and advanced visualization techniques. This role requires a deep understanding of geospatial data, strong analytical skills, and the ability to support multiple offices and mission sets simultaneously. The ideal candidate excels at transforming complex data into clear, decision‑ready intelligence products for a variety of stakeholders.Key ResponsibilitiesBig Data Trend AnalysisLead the collection, integration, and analysis of large-scale geospatial datasets to identify patterns, trends, and anomalies relevant to mission objectivesApply advanced statistical and geospatial techniques to extract actionable intelligence from diverse data sourcesData StructuringDesign, implement, and maintain structured geospatial databases to ensure data integrity, accessibility, and usabilityDevelop and enforce data standards, metadata, and best practices for geospatial data managementIntelligence Production SupportProvide expert geospatial analysis in support of intelligence production, including the creation of maps, reports, and briefingsCollaborate with intelligence teams to fuse geospatial data with other intelligence sources for comprehensive assessmentsMultiple Office Production SupportServe as a geospatial subject matter expert supporting multiple offices and mission areas, ensuring timely and accurate delivery of geospatial productsCoordinate and prioritize analytical support across diverse teams and projectsGraphic and Visualization SupportDevelop high-quality geospatial visualizations, graphics, and cartographic products to communicate complex findings to technical and non‑technical audiencesAdvise on best practices for visual storytelling and data presentation in intelligence productsBasic Qualifications5+ years of experience in geospatial intelligence analysis or a related fieldAdvanced proficiency with ESRI geospatial analysis tools (e.g., ArcGIS)Experience with big data analytics and geospatial data structuringDemonstrated ability to produce high-quality geospatial intelligence products and visualizationsStrong written and verbal communication skills, including experience briefing senior leadershipProven ability to support multiple teams and manage competing prioritiesActive TS/SCI clearance with ability to be approved for a PolygraphPreferred QualificationsBachelor's or Master's degree in Geospatial Science, Geography, Remote Sensing, Data Science, or a related fieldExperience supporting intelligence, defense, or government organizationsFamiliarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.Familiarity with programming languages (e.g., Python, R) for geospatial analysis and automationExperience with cloud-based geospatial platforms and big data environment.#J-18808-Ljbffr
Leidos is actively interviewing for a Senior Geospatial Intelligence Analyst to join our team in Springfield, VA.The Senior Geospatial Intelligence Analyst is a subject matter expert responsible for leading advanced geospatial analysis, supporting intelligence production, and providing actionable insights through the integration of big data, structured data, and advanced visualization techniques. This role requires a deep understanding of geospatial data, strong analytical skills, and the ability to support multiple offices and mission sets simultaneously. The ideal candidate excels at transforming complex data into clear, decision‑ready intelligence products for a variety of stakeholders.Key ResponsibilitiesBig Data Trend AnalysisLead the collection, integration, and analysis of large-scale geospatial datasets to identify patterns, trends, and anomalies relevant to mission objectivesApply advanced statistical and geospatial techniques to extract actionable intelligence from diverse data sourcesData StructuringDesign, implement, and maintain structured geospatial databases to ensure data integrity, accessibility, and usabilityDevelop and enforce data standards, metadata, and best practices for geospatial data managementIntelligence Production SupportProvide expert geospatial analysis in support of intelligence production, including the creation of maps, reports, and briefingsCollaborate with intelligence teams to fuse geospatial data with other intelligence sources for comprehensive assessmentsMultiple Office Production SupportServe as a geospatial subject matter expert supporting multiple offices and mission areas, ensuring timely and accurate delivery of geospatial productsCoordinate and prioritize analytical support across diverse teams and projectsGraphic and Visualization SupportDevelop high-quality geospatial visualizations, graphics, and cartographic products to communicate complex findings to technical and non‑technical audiencesAdvise on best practices for visual storytelling and data presentation in intelligence productsBasic Qualifications5+ years of experience in geospatial intelligence analysis or a related fieldAdvanced proficiency with ESRI geospatial analysis tools (e.g., ArcGIS)Experience with big data analytics and geospatial data structuringDemonstrated ability to produce high-quality geospatial intelligence products and visualizationsStrong written and verbal communication skills, including experience briefing senior leadershipProven ability to support multiple teams and manage competing prioritiesActive TS/SCI clearance with ability to be approved for a PolygraphPreferred QualificationsBachelor's or Master's degree in Geospatial Science, Geography, Remote Sensing, Data Science, or a related fieldExperience supporting intelligence, defense, or government organizationsFamiliarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.Familiarity with programming languages (e.g., Python, R) for geospatial analysis and automationExperience with cloud-based geospatial platforms and big data environment.#J-18808-Ljbffr
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