Data Services Specialist
New York, NY
Job Description

Position Summary

The QDA & Survey Research Specialist will be working in a vibrant and collaborative environment on a team that supports all phases of the data lifecycle for quantitative, qualitative, and geospatial research. Data Services offers access to specialty software packages, software training and support, and consulting expertise for many aspects of numeric, qualitative, and spatial data for research, including data access, analysis, collection, data management, and preservation. The successful candidate will work closely with Division of Libraries professionals and faculty as well as with colleagues in NYU Information Technology Services (ITS) with respect to referrals, service development, technology, standards, resources and projects.


Required Education:
Bachelor's degree or equivilant experience in a social science or other related field

Preferred Education:
Graduate degree in a social science or related discipline requiring interaction with statistical software and data sets.

Required Experience:
Min 3 years' experience conducting or assisting with qualitative academic research with Atlas.ti and/or NVivo QDA software. 1-3 years' experience conducting or assisting with research utilizing web survey tools such as Qualtrics, Survey Monkey, or others.

Preferred Experience:
Experience teaching QDA or survey software packages and/or research methods. Experience in an academic environment, preferably in IT and/or Libraries.

Required Skills, Knowledge and Abilities:
Excellent public service, communication, organizational, and interpersonal skills. Ability to work courteously and effectively with patrons and colleagues in a collaborative team environment. Proficiency with commonly used qualitative and survey research methods.

Preferred Skills, Knowledge and Abilities:
Basic understanding of geographic information systems (GIS) and/or quantitative data analysis.

Additional Information

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity
Job Type Full-time