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Information Technology 🏢 Full Time ⭐️ Verified

Federal Data Analyst - Weekly Pay

U.S. Federal Services
Fresno, CA
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
18 Agustus 2026
Deadline
18 Agu 2027

Job Description

Join our prestigious federal agency as a Data Analyst in Fresno, CA with exclusive weekly pay opportunities! We're seeking a detail-oriented professional to transform complex datasets into actionable intelligence for national security initiatives. Enjoy competitive benefits, flexible scheduling, and the stability of federal employment while making impactful contributions to public service.

This role offers accelerated payment cycles (weekly vs. bi-weekly) to support your financial needs. Our Fresno campus features modern facilities, professional development resources, and a collaborative environment where your analytical expertise drives real-world policy decisions.

Responsibilities

  • Analyze and interpret large-scale federal datasets to identify trends, patterns, and anomalies
  • Develop interactive dashboards and reports using SQL, Python, and Tableau
  • Ensure data integrity through rigorous validation and quality control protocols
  • Collaborate with cross-functional teams to support agency objectives and compliance requirements
  • Present findings to senior leadership through compelling visualizations and executive summaries
  • Adhere to strict federal data security standards (FISMA, NIST) and privacy regulations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field
  • 3+ years of professional data analysis experience with federal datasets preferred
  • Proficiency in SQL, Python (Pandas/NumPy), and visualization tools (Tableau/Power BI)
  • Familiarity with federal reporting systems and compliance frameworks
  • Strong problem-solving skills with ability to communicate complex findings clearly
  • Active security clearance or ability to obtain one

Required Skills

Data Analysis SQL Python Tableau Federal Compliance Data Visualization Statistical Analysis Reporting

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