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Part-Time Federal Data Analyst - Detroit, MI

U.S. Department of Health and Human Services
Detroit, MI
Estimated Salary
USD 28 – USD 42
New
Live Update
30 Juli 2026
Deadline
30 Jul 2027

Job Description

Join our federal team in Detroit as a Part-Time Data Analyst and play a pivotal role in shaping public health policy through data-driven insights. This position offers the unique opportunity to work with sensitive federal datasets while maintaining compliance with strict regulatory standards. Ideal for candidates seeking flexible hours without compromising impact, you'll collaborate with cross-agency teams to transform complex data into actionable intelligence. Why Apply? Competitive federal benefits package, professional development opportunities, and the chance to contribute to national healthcare initiatives.

Responsibilities

  • Analyze and interpret federal healthcare datasets to identify trends and inform policy decisions
  • Develop interactive dashboards and reports using Tableau/Power BI for federal stakeholders
  • Ensure data integrity through rigorous validation processes and compliance with HIPAA/FERPA regulations
  • Collaborate with epidemiologists and program managers on grant-funded research initiatives
  • Automate data pipelines using Python/SQL to streamline reporting workflows
  • Present findings to senior leadership through concise executive summaries
  • Maintain documentation of data methodologies and analysis protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Public Health, or related field
  • 2+ years of experience with federal or healthcare data analysis
  • Proficiency in SQL, Python (Pandas), and R for statistical modeling
  • Certification in Tableau or Power BI (preferred)
  • Strong understanding of federal data privacy regulations (HIPAA, 21 CFR Part 11)
  • Ability to work 20-25 hours/week with flexible scheduling
  • U.S. citizenship and ability to pass federal background check
  • Experience with large-scale datasets (100M+ records)

Required Skills

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

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