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Information Technology 🏢 Full Time ⭐️ Verified

Urgently Hiring: Federal Data Analyst

Department of Homeland Security
Philadelphia, PA
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
25 Juli 2026
Deadline
25 Jul 2027

Job Description

We are urgently seeking a highly skilled Federal Data Analyst to join our critical mission at the Department of Homeland Security. This role is pivotal in transforming complex federal datasets into actionable intelligence to support national security initiatives. You'll work with sensitive government data, ensuring compliance with federal regulations while driving data-driven decision-making across agencies. Join our dynamic team and make a direct impact on public safety.

Responsibilities

  • Analyze and interpret large-scale federal datasets using SQL, Python, and advanced statistical methods
  • Develop interactive dashboards and visualizations for executive leadership
  • Ensure compliance with federal data privacy laws (FISMA, HIPAA) and security protocols
  • Collaborate with cross-agency teams to identify emerging trends and threats
  • Create comprehensive data reports for congressional briefings and policy development
  • Maintain data integrity through rigorous quality control procedures
  • Lead data migration projects between federal systems

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (Master's preferred)
  • 3+ years experience with federal data systems and compliance frameworks
  • Expert proficiency in SQL, Python (Pandas, NumPy), and R programming
  • Strong knowledge of federal data governance regulations (NIST, FISMA)
  • Certification in data visualization (Tableau, Power BI) required
  • Ability to obtain and maintain a federal security clearance
  • Experience with geospatial analysis and mapping tools (ArcGIS)
  • Proven track record presenting complex data to non-technical stakeholders

Required Skills

Data Analysis SQL Python R Federal Compliance Data Visualization Statistical Analysis GIS Tableau Power BI

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