AI / Data Analyst

Peraton•Herndon, VA

1d•$135,000 - $216,000•Onsite

About The Position

Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA’s Brand-New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation’s skies safe and connected. We’re looking for innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world’s most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration. At Peraton, you won’t just support the mission — you’ll define it. Peraton is seeking a talented AI / Data Analyst to support the development and application of AI-enabled solutions within a mission-focused environment. In this role, you will work with modern Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and cloud-based AI technologies to turn complex data into intelligent, scalable applications. This opportunity is suited for professionals with backgrounds in intelligence analysis, all-source analysis or data analysis, who apply their analytical expertise to emerging Artificial Intelligence (AI) and Generative AI capabilities. We are looking for individuals who understand how to work with diverse data sources, identify patterns and relationships, evaluate information, and turn complex data into meaningful insights. Work Location: This position is required to be 100% on-site located in Herndon, VA. Your Impact: In this role, you will help move AI capabilities from concept to production, developing secure and responsible solutions that allow users to interact with complex information in faster and more intuitive ways. This role provides an opportunity for experienced Data Analysts to bring their existing skills into the rapidly evolving world of Generative AI and advanced data analytics without requiring a traditional software-engineering career path.

Requirements

U.S. Citizenship Required.
Must have the ability to obtain / maintain a Public Trust clearance.
Bachelor’s degree and 12 years of experience or Master's degree and 10 years of experience or Associate’s degree and 14 years of experience or HS diploma/equivalent and 16 years’ experience.
Background as an Intelligence Analyst, All-Source Analyst, Data Analyst, Research Analyst, Business Intelligence Analyst, or similar analytical professional.
Experience integrating, manipulating, or analyzing information from multiple disparate data sources.
Experience working with large volumes of structured and unstructured data.
Familiarity with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), or AI-assisted analytical tools.
Experience using tools such as ChatGPT, Claude, Gemini, Microsoft Copilot, or other LLM-based platforms for research, analysis, summarization, or information synthesis.
Experience with prompt development/prompt engineering and evaluating AI-generated responses.
Demonstrated experience working with and manipulating large, complex, or diverse datasets from multiple sources.
Experience validating data quality and identifying incomplete, inconsistent, or conflicting information.

Nice To Haves

Experience supporting federal government, defense, intelligence, aviation, or other mission-critical environments.
Proficiency with common data analysis and productivity tools such as Microsoft Excel and related reporting or visualization applications.
Understanding of data governance, information security, privacy, and Responsible AI principles.
Relevant professional experience in intelligence analysis, all-source analysis, data analysis, research, business intelligence, operations analysis, or a related analytical discipline.
Experience with data visualization or business intelligence tools such as Power BI or Tableau.
Familiarity with SQL, Python, or other data manipulation/query tools is a plus but not required.
Experience analyzing both structured and unstructured information to identify patterns, trends, relationships, anomalies, and actionable insights.
Demonstrated ability to research, evaluate, correlate, and synthesize information from multiple sources.

Responsibilities

Collect, organize, manipulate, and analyze structured and unstructured data from multiple sources.
Evaluate large and diverse datasets to identify patterns, trends, relationships, anomalies, and potential risks.
Apply analytical techniques to transform complex information into actionable insights and recommendations.
Support the use of Generative AI and Large Language Models (LLMs) to analyze, summarize, categorize, and extract insights from information.
Develop and refine prompts to improve the quality and accuracy of AI-generated results.
Evaluate AI-generated outputs for accuracy, relevance, completeness, and consistency.
Research and correlate information across multiple data sources to develop a more complete understanding of complex issues.
Assist with preparing data for AI-enabled analysis, including data validation, cleansing, normalization, tagging, and organization.
Support dashboards, reports, visualizations, and analytical products that communicate findings to stakeholders.
Work closely with AI engineers, data scientists, software developers, and mission stakeholders to translate analytical requirements into AI-enabled capabilities.
Identify opportunities where AI, automation, and advanced analytics can improve existing analytical processes.
Document analytical methodologies, data sources, assumptions, findings, and recommendations.
Apply appropriate data governance, security, privacy, and responsible AI practices when handling sensitive information.