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Information Technology 🏢 Full Time ⭐️ Verified

Federal Data Analyst (Flexible Hours)

U.S. Department of Homeland Security
Tucson, AZ
Estimated Salary
USD 65.000 – USD 95.000
New
Live Update
13 September 2026
Deadline
13 Sep 2027

Job Description

Join our dynamic team as a Federal Data Analyst in Tucson, AZ, where flexibility meets impact. This full-time position offers adaptable scheduling to accommodate your work-life balance while contributing to critical national security initiatives. You'll leverage advanced analytical skills to transform complex datasets into actionable intelligence, supporting border security operations and policy development. Our collaborative environment values innovation and professional growth, with opportunities for specialized training and career advancement.

Responsibilities

  • Analyze and interpret large-scale datasets using SQL, Python, and R to identify trends and patterns
  • Develop interactive dashboards and visualizations for executive stakeholders using Tableau/Power BI
  • Ensure data integrity and compliance with federal regulations (FISMA, HIPAA)
  • Collaborate with cross-functional teams to define data requirements and deliverables
  • Present findings through concise reports and briefings to senior leadership
  • Maintain and optimize data pipelines for real-time processing
  • Support ad-hoc analysis requests during critical operations

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (Master's preferred)
  • 3+ years of experience in data analysis with federal compliance knowledge
  • Proficiency in SQL, Python (Pandas/Numpy), and data visualization tools
  • Strong understanding of statistical methods and experimental design
  • Ability to obtain and maintain a federal security clearance
  • Experience with geospatial data analysis (GIS) is highly desirable
  • Exceptional problem-solving and communication skills

Required Skills

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

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