Senior Geospatial Intelligence Analyst

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.

#GEOINTMISSION

#NSBA

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:

For 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:

The 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.