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Information Technology 🏢 Full Time ⭐️ Verified

Senior Federal Data Analyst

Federal Analytics Solutions
Oakland, CA
Estimated Salary
USD 130.000 – USD 170.000
Live Update
7 September 2026
Deadline
7 Sep 2027

Job Description

Join our elite federal data team in Oakland and drive impactful decisions with cutting-edge analytics. We're seeking a Senior Federal Data Analyst to transform complex datasets into actionable intelligence for national security and public policy initiatives. Enjoy competitive compensation, comprehensive benefits, and the prestige of serving federal agencies while working in California's vibrant Bay Area.

This role offers unparalleled growth opportunities in a mission-critical environment where your expertise directly shapes federal programs. You'll collaborate with cross-functional teams using advanced tools to ensure data integrity, compliance with federal regulations, and strategic reporting.

Responsibilities

  • Analyze and interpret large-scale federal datasets using SQL, Python, and advanced statistical methods
  • Develop interactive dashboards and visualizations for executive decision-making
  • Ensure compliance with federal data governance standards (FISMA, HIPAA)
  • Present findings to senior leadership and congressional stakeholders
  • Lead data quality initiatives and implement robust validation frameworks
  • Collaborate with cross-agency teams on national security data projects

Qualifications

  • 5+ years of data analysis experience in federal/government sector
  • Expert proficiency in SQL, Python (Pandas/NumPy), and R
  • Advanced knowledge of federal data regulations (FISMA, HIPAA, 21st Century CIGAR)
  • Master's degree in Data Science, Statistics, or related field
  • Experience with Tableau/Power BI and cloud platforms (AWS/GCP)
  • Active federal security clearance or ability to obtain one
  • Proven track record of delivering high-stakes analytical projects

Required Skills

Data Analysis SQL Python R Federal Compliance Data Visualization Tableau AWS FISMA HIPAA

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