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Federal Data Analyst (Paid Training) - Fresno, CA

U.S. Department of Defense Analytics Division
Fresno, CA
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
4 Oktober 2026
Deadline
4 Okt 2027

Job Description

Join our elite federal data team with a comprehensive paid training program designed to launch your career in government analytics. We're seeking motivated individuals in Fresno, CA to transform complex federal datasets into actionable insights that shape national policy. This is your gateway to a stable, impactful career with full benefits and growth opportunities.

Why Apply?

  • No experience required – we provide all necessary training
  • Competitive federal salary with advancement potential
  • Comprehensive benefits package including health insurance and retirement
  • Work on projects that directly impact national security and public services

Responsibilities

  • Analyze and interpret federal datasets using SQL, Python, and R
  • Create visualizations for executive briefings and policy recommendations
  • Ensure compliance with federal data security protocols (FISMA, HIPAA)
  • Collaborate with cross-agency teams on joint research initiatives
  • Develop automated reporting systems for recurring federal metrics
  • Maintain data integrity across multiple federal databases
  • Present findings to senior government officials

Qualifications

  • High school diploma or equivalent (college preferred)
  • Strong analytical aptitude and problem-solving skills
  • Basic proficiency in Excel or spreadsheet software
  • U.S. citizenship and ability to obtain federal clearance
  • Ability to learn technical systems quickly
  • Attention to detail and commitment to accuracy
  • Effective communication skills for technical/non-technical audiences

Required Skills

Data Analysis SQL Python Federal Compliance Data Visualization Statistical Analysis Government Regulations Database Management

Ready to Take This Challenge?

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

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