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Federal Data Analyst

U.S. Department of Health and Human Services
Saint Paul
Estimated Salary
USD 78.010 – USD 101.460
New
Live Update
27 September 2026
Deadline
27 Sep 2027

Job Description

Join our mission-critical team at the U.S. Department of Health and Human Services as a Federal Data Analyst in Saint Paul, MN. You'll transform complex federal datasets into actionable insights that drive policy decisions and public health initiatives. This role offers unparalleled opportunities to work with high-impact data while contributing to national healthcare programs.

We're seeking a detail-oriented professional who thrives in compliance-driven environments and possesses advanced analytical skills. Enjoy competitive benefits, federal retirement plans, and the satisfaction of serving your community through data-driven solutions.

Responsibilities

  • Analyze and interpret federal healthcare datasets to identify trends and support policy development
  • Develop automated data pipelines using SQL and Python for federal compliance reporting
  • Create interactive visualizations and dashboards for executive stakeholders using Tableau
  • Ensure data integrity and adherence to federal privacy regulations (HIPAA, FISMA)
  • Collaborate with cross-agency teams to align data standards and reporting requirements
  • Present findings to senior leadership through concise executive summaries

Qualifications

  • Bachelor's degree in Data Science, Statistics, Public Health, or related field
  • 3+ years experience with federal healthcare datasets and compliance frameworks
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Expertise in statistical analysis and predictive modeling techniques
  • Strong understanding of federal data governance standards and security protocols
  • Professional certification in data analytics (e.g., CDA, PMP) preferred

Required Skills

SQL Python Tableau Statistical Analysis Data Governance Federal Compliance Healthcare Data Predictive Modeling Data Visualization

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