Barnard

Barnard

Admissions Graduate Assistant

New York City, NY · Part-time

Sponsorship not specifiedDetected 7 days ago
SpringExcelRecruitingCustomer SupportCommunicationPublic SpeakingMicrosoft Office

About the role

  • If you are a current Barnard College employee, please use the internal career site to apply for this position.
  • They will contribute to the Office's efforts in recruiting and selecting the most outstanding candidates for admission to Barnard College.
  • This role contributes to customer service operations, event planning, recruitment and application review.

Requirements

  • Knowledge, Skills & Abilities:
  • Currently enrolled in a Graduate Program, preferably within a higher education field.
  • This is an on site position
  • |Salary Range: $22/hour
  • The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the College's good faith and reasonable estimate of the range of possible compensation at the time of posting.
  • Barnard College
  • Time Type:
  • Part time

Skills

  • Excellent writing, communication, and interpersonal skills
  • Strong attention to detail and organization skills
  • Strong presentation and public speaking skills
  • Willingness and availability to work some evenings and/or weekends for on-campus programming
  • Proficiency in Google Suite, Microsoft Word, Access, Excel, and PowerPoint.
  • Familiarity with Slate preferred.

Compensation

  • The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.
  • The above hiring range represents the College's good faith and reasonable estimate of the range of possible compensation at the time of posting.

This listing is sourced directly from Barnard's careers page and normalized into a canonical job model.