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Information Technology 🏢 Full Time ⭐️ Verified

Federal Data Analyst

Department of Homeland Security
Omaha
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Join our mission-critical team as a Federal Data Analyst in Omaha, NE. This remote-friendly position offers the unique opportunity to work with sensitive government datasets while maintaining a flexible work arrangement. You'll be instrumental in transforming raw federal data into actionable intelligence that safeguards national security initiatives. Our collaborative environment values analytical rigor, ethical data handling, and innovative problem-solving.

We provide comprehensive benefits including federal health insurance, retirement plans, and professional development stipends. This role requires active security clearance eligibility and adherence to strict data governance protocols.

Responsibilities

  • Analyze and interpret complex federal datasets to support homeland security operations
  • Develop automated data pipelines for real-time monitoring of security metrics
  • Create interactive dashboards and visualizations for executive briefings
  • Ensure compliance with FISMA and federal data privacy regulations
  • Collaborate with cross-agency teams on joint intelligence projects
  • Document analytical methodologies and data sources for audit purposes
  • Mentor junior analysts on best practices in federal data governance

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (Master's preferred)
  • 3+ years experience with federal data systems and security protocols
  • Advanced proficiency in SQL, Python (Pandas), and R
  • Expertise in data visualization tools (Tableau, Power BI)
  • Active or eligible for federal security clearance
  • Knowledge of HIPAA, FERPA, and 21 CFR Part 11 regulations
  • Experience with cloud platforms (AWS, Azure) for data processing

Required Skills

SQL Python R Tableau Power BI AWS Azure Data Governance Federal Regulations Statistical Analysis

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