Job Description

Position Summary
NYU's Global Programs & University Life organization is committed to being a welcoming campus community that reflects and enacts the values of inclusion, diversity, belonging, equity and accessibility that inform academic excellence. Employees in this organization are expected to contribute to diverse, equitable, inclusive and accessible learning and working environments for our students, staff, and faculty.



Under the direction of the Associate Director, Data & Assessment, support and execute data and assessment needs of the Wasserman Center for Career Development. Design surveys and other data collection vehicles. Develop intelligence reports, presentations, and publications based on the data analysis conducted and provide creativity in dashboard design, problem solving, and analysis. Ensure deadlines for projects met within established time frames and maintain the center’s data reporting platforms. Liaise with stakeholders including faculty, university administrators and employers across NYU's global sites.

Qualifications
Required Education:
Bachelor's Degree

Required Experience:
3+ years relevant experience in data and assessment, preferably within career services or human resources. Must have experience collecting, analyzing, and reporting on data and with project management.

Preferred Experience:
University experience preferred.

Required Skills, Knowledge and Abilities:
Excellent written and verbal communications skills, strong technical proficiency with data analysis and data management tools (e.g., Python, SQL, Tableau, Excel/Google Sheets), and application/survey tools (e.g., Google Forms, Qualtrics, or similar). Rigorous attention to detail and data ethics, intellectual curiosity and strong sense of project ownership with the ability to think proactively and take initiative. Collaborative, team-player who is excited to contribute to and learn from the rest of the team. The candidate should be excited about finding solutions to complex problems, and is a reliable figure for stakeholders. Must have knowledge on how to use Python data stack (e.g., Pandas, Jupyter, etc.), SQL, and/or Excel, various statistical tools and techniques, and Tableau to create standalone visualizations and dashboards. Demonstrate a strong track record of implementing internal process improvements, e.g., automating manual processes and optimizing data delivery.

Preferred Skills, Knowledge and Abilities:
Knowledge of Tableau dashboard and software. Knowledge of federal & state regulations applicable to higher education. Knowledge of higher education, or nonprofit organization administration systems and rules & regulations. Familiarity with AWS, Snowflake, statistical analysis a plus.