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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.

• ✓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

• ▸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 (see experience point calculation below)
• ✓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 developing visualizations to communicate analytical results to both technical and non-technical audiences

Experience Point Requirement

This is a Middle-level (Level 3) position requiring a minimum of 5 experience points. Points are calculated as follows:

• Education: Associate's = 2 pts  ·  Bachelor's = 3 pts  ·  Master's = +2 pts  ·  PhD = +3 pts
• Professional / Military Experience: 1 pt per year of relevant experience
• Certifications: 0.5 pts each
• Specialized Training: 0.25 pts per relevant course
• Professional Impact (publications, presentations, patents): up to 3 pts total

• ▸You're analytically curious — you don't stop at the surface finding; you dig until you understand what the data is actually telling you
• ▸You build tools and visualizations that others can use — your outputs are clear, actionable, and designed for the people making decisions
• ▸You take pride in data standards — you understand that a dirty or non-compliant dataset wastes downstream effort and you address it proactively
• ▸You collaborate well across technical disciplines — you can work alongside imagery scientists, data engineers, and program managers without losing the thread
• ▸You're a self-starter who can identify a workflow inefficiency, design an improvement, and implement it

This role gives you hands-on experience with geospatial data analytics in a real intelligence community environment — working alongside imagery scientists, data engineers, and AI/ML practitioners on one of NGA's most technically demanding programs. Experience supporting ML data operations at scale is increasingly valuable across the defense and commercial geospatial markets.