Geospatial Analyst - Object Intelligence; OBI Advanced Method

Required Qualifications

• Bachelor’s degree in a relevant field, such as Geospatial Intelligence or GIS, with a minimum of 8 years of work experience.
• Knowledge and experience in conducting geospatial analysis of objects, networks, and use of geospatial tools, methodologies, spatial-temporal data, imagery, social, and physical sciences.
• Knowledge of integrating geospatial data into all source products or analytical workflows.
• Capability in preparing and presenting briefings to customer senior management to effectively communicate technical and complex analytic issues and recommended solutions.
• Ability to work collaboratively with users and stakeholders.
• Capacity to adapt to changing situations to prioritize tasks effectively.
• Excellent communication, analytical, and problem-solving skills.

• Master’s degree in a relevant field, such as Geospatial Intelligence or GIS.
• GEO INT Professional Certification - Geospatial Analysis (GA-II)
• Experience working in the customer environment is preferred.

This Position requires an Active TS/SCI and the ability to obtain a Poly; US Citizenship is required to hold this clearance.

The Geospatial Analyst - Object Based Intelligence (OBI) Advanced Method utilizes skills in analyzing geographic data and interpreting spatial information to provide insights to make high‑quality intelligence‑driven decisions and actions. This position will focus on OBI Advanced Method. Responsibilities are, but are not limited to:

• Conduct geospatial analysis of objects, networks, and use of geospatial tools, methodologies, spatial‑temporal data, imagery, social, and physical sciences.
• Exploit imagery, vector, and other data types to include non‑geospatially correlated data.
• Map objects in the spatial domain to provide location, identity, and geographic features and activities.
• Integrate geospatial data into all source products.
• Integrate geospatial data into analytical workflows.
• Build and explain geospatial models that leverage statistics, data science, and quantitative methods.
• Analyze and characterize spatial‑temporal data using Geographic Information Systems (GIS) such as ArcGIS or QGIS.
• Provide advice on emerging geospatial methods, tools, algorithms, training, or requirements.
• Employ new and improved methodologies or data sets to address information gaps and identify high‑quality solutions to complex analytic problems.
• Leverage cartographic principles in all map products to ensure ease of use and interpretation.
• Develop or discover algorithms and solutions to analyze, process, or visualize data for distributed processing.