Data Analyst

Geo Owl
· SDVOSB
· Est. 2013

NGA MAVEN PROGRAM
· GEOINT
· DATA ANALYTICS
· MIDDLE

Great AI/ML models start with great data — and great data starts with analysts who understand what they're looking at. As the Data Analyst on NGA Maven, you'll dig into complex geospatial datasets, surface patterns and compliance gaps, and translate raw data holdings into recommendations that sharpen machine learning development.

The Data Analyst supports the maintenance of data holdings, ensures compliance to data standards, and performs quantitative analysis of data. You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day‑to‑day, you'll work with the GEOSPI team to automate standard processes, build lightweight analytics tools, manage data dictionaries, and ensure the pipeline stays compliant and productive.

The Data Analyst shall support the maintenance of data holdings, ensure compliance to data standards, and perform quantitative analysis of data. Data analysis will involve transforming data, developing visuals to assist with data understanding, and conducting analysis to make recommendations on data strategies to improve Machine Learning (ML) model development.

• Analyze Maven data holdings to assess diversity, coverage, and compliance with government‑directed standards; surface findings in visualizations the team can act on
• Apply statistical and mathematical methods to examine data quality, pipeline efficiency, and preprocessing progress against government goals
• Build and maintain lightweight analytic tools to track, visualize, and report data pipeline metrics and preprocessing status
• Ingest and rectify non‑standard data formats new to the Data Management Platform; generate and maintain data dictionaries as tables evolve
• Support ETL workflows and data cleaning operations; help automate standard processes to increase preprocessing productivity
• Provide analysis expertise to determine whether imagery curation techniques effectively identify images of value for model development

The quality and diversity of NGA Maven's training data directly determines the performance of the AI/ML models that support national security operations.

Your analysis identifies gaps, validates compliance, and recommends curation strategies that make those models better.

You contribute to Geo Owl's track record of delivering reliable, high‑quality GEOINT data support on Maven — a program that reflects our core identity as a mission‑first geospatial company.

You'll build applied experience in geospatial data analytics and ML pipeline support within a high‑stakes intelligence community environment — a strong foundation for advancing toward data science or senior analyst roles.

• Lead and conduct projects using advanced statistical, mathematical, and scientific techniques to derive insights from complex geospatial datasets
• Apply statistical and analytic methods to answer intelligence questions, support mission requirements, and advance data strategy recommendations
• Build lightweight analytic tools to visualize data metrics and assess preprocessing progress against government goals
• Design tracking and reporting mechanisms to monitor pipeline data movement for timeliness and compliance
• Develop automated checks on data and processes to guarantee continuous pipeline support
• Ingest and rectify non‑standard data and new formats within the Data Management Platform; generate and maintain data dictionaries
• Support ETL capabilities: data analytics, cleaning, analyst workflow efficiencies, and transformation
• Work with the GEOSPI team to enhance workflows, automate standard processes, and improve overall preprocessing productivity

• Active TS/SCI clearance
• Minimum 5 experience points required
• Experience preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets
• Experience with programming languages and tools such as Python, R, SQL, GIS, or Tableau
• Experience…