Data Analyst

About Geo Owl

Geo Owl is a certified Service-Disabled Veteran-Owned Small Business established in 2013, specializing in geospatial intelligence (GEOINT) services for defense and intelligence sectors. With a commitment to innovation, integrity, and excellence, Geo Owl delivers advanced geospatial and imagery intelligence solutions, remote sensing analysis, data science, and space-based intelligence products globally. The company fosters a collaborative, inclusive culture supporting continuous learning and work-life balance while contributing to national security missions through cutting-edge technology and analytical expertise.

Role Overview

The Data Analyst position supports data management by maintaining data holdings, ensuring adherence to compliance standards, and conducting quantitative analysis to inform machine learning model development within geospatial intelligence. This role involves data transformation, developing visualizations, and automating processes to enhance data pipeline performance and productivity. Collaboration with cross-functional teams is vital to maintain efficient data preprocessing and compliance.

Key Responsibilities

• Examine geospatial data for diversity, coverage, and conformity with governmental standards, delivering actionable visual reports.
• Utilize statistical and mathematical methodologies to evaluate data quality, workflow efficiency, and preprocessing progress against set objectives.
• Create and maintain analytical tools to track and visualize pipeline metrics, supporting ongoing reporting and data management.
• Manage ingestion and standardization of new and non-conventional data formats, including maintaining evolving data dictionaries.
• Support ETL processes, including data cleaning and automation to improve data preprocessing productivity.
• Analyze imagery curation methods to validate their effectiveness in identifying valuable images for AI/ML model use.

Why This Role is Important

This role directly impacts the quality and performance of AI and machine learning models essential for national security by ensuring data excellence and identifying compliance gaps. It offers opportunity to build expertise in geospatial analytics and AI/ML pipelines within an intelligence community environment, laying the foundation for career advancement.

Qualifications

• Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is mandatory.
• A minimum of 5 experience points based on education and relevant professional background.
• Proven experience with preparing and statistically analyzing large, complex geospatial datasets.
• Proficiency in programming and analytical tools including Python, R, SQL, GIS, or Tableau.
• Ability to create clear, effective visualizations for diverse audiences.

Preferred Skills

• Prior experience in AI/ML-related fields, especially related to imagery exploitation.

Experience Points Evaluation System

Points are accumulated through education, professional and military experience, certifications, specialized training, and documented professional contributions:

• Associate's degree: 2 points
• Bachelor's degree: 3 points
• Master's degree: Additional 2 points
• PhD: Additional 3 points
• Professional/military experience: 1 point per year of relevant experience
• Certifications: 0.5 points each
• Relevant courses: 0.25 points each
• Professional impact (publications, presentations, patents): up to 3 points

Success Traits

• Strong analytical curiosity that drives deep data understanding beyond surface-level findings.
• Skilled at designing actionable tools and visualizations tailored for decision-makers.
• Committed to maintaining high data standards and proactive in addressing data quality issues.
• Effective collaborator across technical disciplines including imagery science and data engineering.
• Independent and proactive in identifying inefficiencies and implementing workflow improvements.

Ideal Candidate Profile

This position fits mid-level data or geospatial analysts eager to apply quantitative methods to meaningful, mission-critical tasks within a secure environment managing large geospatial datasets and supporting AI/ML data strategies. It may not suit those uninterested in operational accountability or data governance compliance.

Career Development

The role offers hands-on experience in the intelligence community with opportunities to work alongside experts in imagery and AI/ML, enhancing skills valuable in both defense and commercial geospatial sectors.

Benefits

• Employer-covered health insurance with over 80% of premiums paid by the company.
• 401(k) retirement plan with matching contributions.
• Available dental, vision, and supplemental insurance offerings.
• Company-funded short- and long-term disability and life insurance.
• Peer-to-peer recognition through spot bonuses.
• 120 hours of paid time off annually plus federal holidays.
• Full salary continuation during military leave.
• Military transition program to support veterans moving to civilian roles.