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Federal Data Analyst

U.S. Department of Defense
Arlington
Estimated Salary
USD 85.000 – USD 120.000
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Join our elite team at the U.S. Department of Defense as a Federal Data Analyst in Arlington, TX. Shape national security through advanced data-driven decision-making in a mission-critical environment. We offer competitive benefits, professional development, and the opportunity to work with cutting-edge technologies.

Why Apply?

  • Impactful work supporting national defense initiatives
  • Collaborative environment with top-tier professionals
  • Comprehensive benefits package including retirement plans
  • Flexible work arrangements available

Responsibilities

  • Analyze complex federal datasets to identify trends and support strategic decision-making
  • Develop and maintain automated data pipelines using SQL, Python, and RProduce high-impact visualizations and reports for senior leadership
  • Ensure compliance with federal data security standards (FISMA, NIST)
  • Collaborate with cross-functional teams to define data requirements
  • Optimize data collection methodologies for improved efficiency
  • Present findings to stakeholders through executive dashboards and briefings

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with federal datasets
  • Proficiency in SQL, Python (Pandas), and data visualization tools
  • Strong understanding of federal data regulations and security protocols
  • Experience with statistical modeling and predictive analytics
  • Ability to obtain and maintain a government security clearance
  • Excellent communication skills for translating technical insights
  • Certification in data analytics (e.g., Google Data Analytics, SAS) preferred

Required Skills

SQL Python R Data Visualization Statistical Analysis Federal Compliance Data Security Predictive Modeling Government Clearances

Ready to Take This Challenge?

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