Data Analyst

Animal and Plant Health Inspection Service•Laurel, MD

About The Position

The Semester of Service Program offers students a volunteer, project-based opportunity to support real Federal missions while gaining hands-on experience and career-ready skills. This project supports the Plant Germplasm Quarantine Program. The volunteer will organize data related to germplasm import, testing, and release; test and apply different data visualization methods; and develop a final report or poster presenting the data. This is an unpaid volunteer experience requiring a commitment of 8–20 hours per week for at least 90 days. Participants are not Federal employees and receive no compensation, stipend, or hiring preference. Participation requires permission from the student’s educational institution and completion of onboarding documentation assigned by the agency and institution.

Requirements

  • Be a U.S. citizen or U.S. national studying in the United States or abroad. International students with valid visas may participate if they meet applicable immigration, visa, and agency requirements.
  • Be enrolled at least half-time in an accredited educational institution, such as a trade school, technical or vocational institute, junior college, college, or university.
  • Be in good academic standing as defined by the educational institution.
  • Commit to volunteering 8–20 hours per week for a minimum of 90 days.
  • Complete all required onboarding documentation assigned by the Federal agency and educational institution.
  • Agree to volunteer and understand that the position is unpaid, provides no compensation, stipend, or hiring preference, and does not make the participant a Federal employee.
  • Have permission to participate from the educational institution at which the student is enrolled.
  • Have completed at least two years of college coursework.
  • Attach a copy of transcripts to the application for verification.

Responsibilities

  • Organize data on germplasm import, testing, and release.
  • Test different data visualization methods and apply them.
  • Develop a final report or poster representing the data.
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