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Information Technology 🏢 Part Time ⭐️ Verified

Federal Data Analyst (Flexible Hours)

U.S. Department of Health and Human Services
Detroit
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
10 Oktober 2026
Deadline
10 Okt 2027

Job Description

Join our mission-critical team as a Federal Data Analyst with flexible hours! We're seeking a detail-oriented professional to transform complex federal datasets into actionable insights for public health initiatives. Enjoy a hybrid work schedule with core hours (9 AM-3 PM) and flexible scheduling options. You'll collaborate with cross-agency partners to analyze healthcare trends, support policy development, and ensure compliance with federal reporting standards. This role offers competitive benefits and the opportunity to make a tangible impact on community health outcomes.

Responsibilities

  • Analyze and interpret federal healthcare datasets using SQL, Python, and R
  • Develop interactive dashboards and visualizations for stakeholder reporting
  • Ensure data integrity and compliance with federal privacy regulations (HIPAA, FISMA)
  • Prepare comprehensive reports for agency leadership and congressional briefings
  • Collaborate with epidemiologists and policy analysts on public health initiatives
  • Maintain data pipelines and automate reporting processes
  • Support grant allocation decisions through predictive modeling

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Public Health, or related field
  • 3+ years of experience with federal healthcare data systems
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Expertise in statistical analysis and hypothesis testing methodologies
  • Familiarity with HIPAA/FISMA compliance requirements
  • Strong written communication skills for technical and non-technical audiences
  • Ability to work independently with flexible scheduling requirements

Required Skills

SQL Python R Data Visualization Statistical Analysis Federal Compliance Healthcare Data Predictive Modeling

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