Data Services Student Consultant - Data Visualization
Position Overview: Data Services Student Consultants work in the Data Services lab on the 5th floor of Bobst Library, providing data visualization & analysis support to the faculty, staff, and students of NYU. Data visualization is about presenting large amounts of information in ways that are universally understandable or easy to interpret and spot patterns, trends and correlations. These representations include charts, graphs, infographics and other pictorial diagrams. Duties include: Use of data visualization tools and software to communicate information in these ways to NYU patrons as well as provide instruction on the use of visualization tools. This is an On-Campus, Paid Job - $16 to $20/hour. Consultants will be expected to be available for 10-20 hours per week for the term and may continue into the following semester based on performance and eligibility.
Required Qualifications:
Preferred Qualifications:
Application Requirements:
Please apply via Handshake using the Job Posting ID: 2896983
We thank all applicants for their interest, however only those candidates selected for interviews will be contacted.
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Data Services Student Consultant - Quantitative
Position Overview: Data Services student consultants work in the Data Services lab on the 5th floor of Bobst Library, providing quantitative/statistical data analysis support to the faculty, staff, and students of NYU. Duties include: providing statistical data analysis consultations on a walk-in and appointment basis, leading Data Services instructional tutorials, preparing training documentation, and participating in select projects. This is an On-Campus, Paid Job - $16 to $20/hour. Consultants will be expected to be available for 10-20 hours per week for the term and may continue into the following semester based on performance and eligibility.
Benefits: Data Services student consultants have the opportunity to gain valuable research experience across multiple academic fields, gain instructional skills and experience, and develop professional connections with faculty, staff and professionals at NYU.
Qualifications: Full-time students wishing to be considered should have experience conducting quantitative academic research with statistical software, Stata or R in particular, supplemented by expertise in SAS, JMP, SPSS, or MATLAB. Fluency in two or more data analysis software packages is a plus. Applicants should have proficiency with commonly used quantitative research methods and be familiar with data manipulation (e.g. merging or restructuring data sets), data cleaning, and basic statistics for analysis of categorical and continuous data (e.g. t-tests, chi-square tests, correlations, ANOVAs, regressions, etc.). Applicants should also have the desire to improve their knowledge of research methodologies.
Application Requirements:
Cover Letter
Resume
Please apply via Handshake using the Job Posting ID: 2897145
We thank all applicants for their interest, however only those candidates selected for interviews will be contacted.
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For Data Services Student Consultant - GIS there are no positions available currently. However, Data Services is always looking for bright individuals. If you are a full-time student with extensive experience of conducting academic research using one or more of our supported software packages and have a desire to improve your knowledge of research methodologies, please email a resume and a cover letter to data.services@nyu.edu to be considered for potential openings in the following semester.
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Data Services Student Consultant - Qualitative Research/Survey Design
For Data Services Student Consultant - Qualitative Research/Survey Design there are no positions available currently. However, Data Services is always looking for bright individuals. If you are a full-time student with extensive experience of conducting academic research using one or more of our supported software packages and have a desire to improve your knowledge of research methodologies, please email a resume and a cover letter to data.services@nyu.edu to be considered for potential openings in the following semester.
