Home Job Details
U
Information Technology 🏢 Full Time ⭐️ Verified

Federal Data Analyst - Equipment Provided

U.S. Department of Homeland Security
Indianapolis
Estimated Salary
USD 75.000 – USD 110.000
Live Update
30 Juli 2026
Deadline
30 Jul 2027

Job Description

Join our elite federal team as a Data Analyst in Indianapolis! We're seeking a detail-oriented professional to transform complex datasets into actionable intelligence. Equipment provided includes high-performance workstations, specialized software licenses, and secure hardware. Enjoy comprehensive benefits, flexible work arrangements, and career growth within one of America's premier agencies. Help safeguard national security through data-driven decision making while working in a collaborative, mission-driven environment.

Responsibilities

  • Analyze and interpret large-scale federal datasets using advanced statistical methods
  • Develop interactive dashboards and visualizations for leadership reporting
  • Ensure compliance with federal data governance and security protocols
  • Collaborate with cross-functional teams to define data requirements and deliverables
  • Document analytical processes and maintain audit-ready data pipelines
  • Present findings to senior officials using clear, compelling narratives

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (Master's preferred)
  • 3+ years experience in federal data analysis or compliance environments
  • Proficiency in SQL, Python/R, and data visualization tools (Tableau/Power BI)
  • Active Secret security clearance (or ability to obtain)
  • Familiarity with federal data regulations (FISMA, HIPAA, etc.)
  • Certification in data analytics (e.g., CDMP, AWS Data Analytics)

Required Skills

Data Analysis SQL Python Federal Compliance Data Visualization Statistical Modeling Security Clearance

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All