Data Modeling Analyst
New York University is seeking a Data Modeling Analyst to collaborate with university stakeholders in designing and providing decision support for external reports and new initiatives. The role involves utilizing data sources to develop statistical models for analyzing past data and predicting future behavior, while also providing quantitative analysis to ensure new initiatives meet operational goals.
Responsibilities
- Collaborate with university stakeholders to design and provide decision support for external reports and new initiatives in support of New York University’s mission
- Utilize available data sources to design and develop statistical models to analyze past data and to predict future behavior
- Provide quantitative analysis of various alternatives to ensure new initiatives meet operational goals
- Utilize technical skills to extract and analyze data, and communication skills to present quantitative analysis to stakeholders
Skills
- Bachelor's Degree
- 1+ years of experience with data collection, retrieval, analysis, and reporting in an applied context
- Detail oriented and able to meet deadlines and manage multiple projects simultaneously
- Proficiency with data analysis software a must (R, SPSS, Python, JMP or equivalent)
- Proficiency writing SQL to query databases and manipulate data
- Excellent written and verbal communication and presentation skills
- Experience using business intelligence tools (Tableau/Tableau Prep or equivalent)
- Master's Degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, Psychology, Sociology, Education, Business, or a related field
- 2+ years with data warehousing/reporting in an institutional research environment
- Scripting/programming experience in R, SPSS, Python, JMP or equivalent strongly preferred
- Consulting experience a plus
- Familiarity with reporting requirements around Student Enrollment Records and Student Financial Aid
- Proven ability to manage multiple priorities under hard deadlines while maintaining a high level of professionalism and exceptional attention to detail and accuracy
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