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Part-Time Federal Data Analyst

U.S. Department of Health & Human Services
Saint Paul, MN
Estimated Salary
USD 28 – USD 42
New
Live Update
14 Oktober 2026
Deadline
14 Okt 2027

Job Description

Join our mission-critical team as a Part-Time Federal Data Analyst at the U.S. Department of Health & Human Services in Saint Paul, MN. This role offers a unique opportunity to support vital public health initiatives through advanced data analysis while maintaining a flexible work schedule. You'll work with sensitive healthcare datasets to drive policy decisions and improve service delivery across Minnesota.

We offer competitive pay, comprehensive training, and the chance to make a tangible impact on federal healthcare programs. Ideal for professionals seeking meaningful part-time work in the public sector with growth potential.

Responsibilities

  • Analyze complex healthcare datasets using SQL, Python, and R to identify trends and anomalies
  • Generate interactive dashboards and reports using Tableau/Power BI for federal stakeholders
  • Ensure compliance with HIPAA, FISMA, and other federal data regulations
  • Collaborate with cross-functional teams to support Medicare/Medicaid program evaluations
  • Document data methodologies and maintain audit-ready data pipelines
  • Present findings to senior leadership with actionable recommendations
  • Support ad-hoc requests from federal agencies and congressional inquiries

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Public Health, or related field
  • 2+ years of professional data analysis experience with federal datasets
  • Proficiency in SQL, Python (Pandas/NumPy), and statistical analysis tools
  • Strong knowledge of healthcare data structures (ICD-10, CPT codes)
  • Familiarity with federal data privacy regulations (HIPAA, FISMA)
  • Experience creating executive-level data visualizations
  • Ability to obtain and maintain federal background clearance
  • Excellent written communication for technical and non-technical audiences

Required Skills

SQL Python R Tableau Power BI Healthcare Data Analysis Federal Regulations HIPAA Data Visualization Statistical Analysis

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