Senior Geospatial Intelligence Analyst
Job Description
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 Responsibilities
Big Data Trend Analysis
Lead the collection, integration, and analysis of large-scale geospatial datasets to identify patterns, trends, and anomalies relevant to mission objectives
Apply advanced statistical and geospatial techniques to extract actionable intelligence from diverse data sources
Data Structuring
Design, implement, and maintain structured geospatial databases to ensure data integrity, accessibility, and usability
Develop and enforce data standards, metadata, and best practices for geospatial data management
Intelligence Production Support
Provide expert geospatial analysis in support of intelligence production, including the creation of maps, reports, and briefings
Collaborate with intelligence teams to fuse geospatial data with other intelligence sources for comprehensive assessments
Multiple Office Production Support
Serve as a geospatial subject matter expert supporting multiple offices and mission areas, ensuring timely and accurate delivery of geospatial products
Coordinate and prioritize analytical support across diverse teams and projects
Graphic and Visualization Support
Develop high-quality geospatial visualizations, graphics, and cartographic products to communicate complex findings to technical and non-technical audiences
Advise on best practices for visual storytelling and data presentation in intelligence products
Basic Qualifications
5+ years of experience in geospatial intelligence analysis or a related field
Advanced proficiency with ESRI geospatial analysis tools (e.g., ArcGIS)
Experience with big data analytics and geospatial data structuring
Demonstrated ability to produce high-quality geospatial intelligence products and visualizations
Strong written and verbal communication skills, including experience briefing senior leadership
Proven ability to support multiple teams and manage competing priorities
Active TS/SCI clearance with ability to be approved for a Polygraph
Preferred Qualifications
Bachelor’s or Master’s degree in Geospatial Science, Geography, Remote Sensing, Data Science, or a related field
Experience supporting intelligence, defense, or government organizations
Familiarity 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 automation
Experience with cloud-based geospatial platforms and big data environment.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
June 16, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $92,300.00 - $166,850.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.