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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Federal Data Analyst

Federal Health & Human Services Agency
Riverside
Estimated Salary
USD 33.280 – USD 43.840
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Join our federal mission in Riverside, CA! We're seeking a detail-oriented Part-Time Federal Data Analyst to transform complex datasets into actionable insights that drive public policy and program improvements. This hybrid role (20-25 hours/week) offers the opportunity to work with sensitive healthcare datasets while supporting critical federal initiatives. If you're passionate about data integrity and public service, we want to hear from you!

Responsibilities

  • Analyze and interpret large-scale federal healthcare datasets using SQL, Python, and R
  • Develop automated data pipelines and quality control measures for federal compliance
  • Create interactive dashboards and visualizations for agency leadership
  • Prepare comprehensive reports on program performance and demographic trends
  • Collaborate with cross-functional teams to ensure data accuracy and timeliness
  • Stay current with federal data regulations (HIPAA, FISMA, and 21st Century Cures Act)
  • Present findings to stakeholders using clear, data-driven narratives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Public Health, or related field
  • 2+ years of professional data analysis experience with federal datasets
  • Advanced proficiency in SQL and Python (Pandas, NumPy)
  • Experience with data visualization tools (Tableau, Power BI, or Looker)
  • Strong understanding of federal data privacy regulations and compliance frameworks
  • Proven ability to communicate complex technical concepts to non-technical audiences
  • Proficiency in Microsoft Excel and statistical analysis methodologies
  • Active federal background clearance eligibility (or ability to obtain)

Required Skills

Data Analysis SQL Python Federal Compliance Data Visualization Healthcare Analytics Statistical Modeling Data Governance

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