Research Analyst

University of Chicago
Chicago - United States
S: Depends on Qualifications

About the Unit

The University of Chicago Law School occupies a unique niche among this country's premier law schools. Located on a residential campus in one of America's great cities, Chicago offers a rigorous and interdisciplinary professional education that blends the study of law with the humanities, the social sciences, and the natural sciences. The Law School opened its doors in 1902, twelve years after the founding of the University of Chicago. It has been an innovator in legal education ever since.

Unit Job Summary

The University of Chicago Law School is seeking a research analyst to conduct research, perform data analyses and prepare reports that will inform the operational, strategic, and academic management of the Law School. In this newly created position, the analyst will gather and assemble information, including proprietary and publically available data; use the data to analyze and assess school programs; create forecasting models for strategic and academic planning; and contribute to stewardship reports for donors. The analyst will communicate data findings through written and visual representation, conveying the narrative that the data supports. The position will have other responsibilities as assigned.

The position works directly with and reports to Thomas Miles, dean of the Law School and professor of law and economics, and provides support to the dean's office.

Education

Master's degree required, or bachelor's degree with two years of related professional experience.

Experience

A minimum of one year of relevant experience involving data analysis required.

Competencies

Required
- Advanced Excel skills, including facility with graphic representation of data
- Grasp of research principles, including the formulation of research questions
- Ability to frame problems and break problems into parts
- Strong writing skills
- Resourceful, with the ability to identify data resources and persistence in assembling information
- Curiosity, with an interest in problem solving
- Aptitude for working with quantitative data and interpreting/translating findings into meaningful narratives
- Creativity in proposing practical solutions
- Exceptional interpersonal skills
- Ability to work independently

Preferred
- STATA Programming
- Python Programming
- Experience working for faculty in a higher education context

Job summary