Data Analyst - College of Arts & Science at NYU in New York, New York, United States

Data Analyst - College of Arts & Science at NYUNew York, New York, United States — full-time

Position Summary

The College of Arts & Science is seeking a talented Data Analyst to join the Academic Affairs team. This individual will develop shared data and iterative assessment practices across the College of Arts & Science (CAS). Partner with Arts & Science departments and stakeholders to cultivate and elevate a broadly adopted culture of data-informed decision making to support student success and academic excellence within the College of Arts & Science. Collaborate with the Director of Academic Assessment and Analytics to maintain and evolve a suite of Tableau dashboards supporting departments and CAS offices and utilize available data sources to conduct various analysis projects across disciplines. Work closely with colleagues across the College and University to coordinate analytical efforts, inform strategic decision making, and provide critical support on initiatives to improve curricula, assessment, and student success.

Qualifications

Required Education:
Bachelor's Degree in Data Science, Statistics, Economics, Sociology, or a related field.

Preferred Education:
Master's Degree in a related field.

Required Experience:
3+ years relevant experience in data analysis, institutional research, enrollment management, and/or program evaluation, or an equivalent combination of education and experience.

Preferred Experience:
Experience in institutional research, reporting and program evaluation. Experience developing training material or teaching.

Required Skills, Knowledge and Abilities:
Excellent interpersonal, and communication skills (both written and oral). Knowledge of standard office software. Proficiency with data analysis features in MS Excel, R, or a comparable tool. Experience with Tableau or other visualization tools. Ability to creatively solve problems. Ability to conduct user interviews and provide effective training at all levels of an organization. Proven ability to draft summary reports and present key takeaways in non-technical language. Ability to articulate findings to members of the internal and external community; detailed knowledge of data analysis skills, including statistical methods and visualization. Demonstrated ability to collaborate within a complex organization.

Preferred Skills, Knowledge and Abilities:
Knowledge of relevant trends related to student success within higher education. Experience with current machine learning and modeling techniques, as well as current qualitative practices.