Data Analyst Jobs

About The Position

Requirements

• U.S. citizenship.
• Ability to obtain and maintain a Public Trust clearance.
• One of the following education and experience combinations: bachelor’s degree and 12 years of experience; master’s degree and 10 years; associate’s degree and 14 years; or high school diploma/equivalent and 16 years.
• 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, LLMs, NLP, or AI-assisted analytical tools.
• Experience using LLM-based platforms such as ChatGPT, Claude, Gemini, or Microsoft Copilot for research, analysis, summarization, or information synthesis.
• Experience developing prompts or applying 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.
• 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 or query tools; not required.
• Experience analyzing 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 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 build a more complete understanding of complex issues.
• Prepare data for AI-enabled analysis, including validating, cleansing, normalizing, tagging, and organizing it.
• Support dashboards, reports, visualizations, and analytical products that communicate findings to stakeholders.
• Work with AI engineers, data scientists, software developers, and mission stakeholders to translate analytical requirements into AI-enabled capabilities.
• Identify opportunities for AI, automation, and advanced analytics to 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.

Benefits

• Employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.