How to Apply
This is a two-year term-limited appointment and is dependent on continued grant funding.
A cover letter and resume are required for consideration for this position. The cover letter should be included in the same document as your resume and should specifically address your interest in this position and highlight related skills and experience.
The University of Michigan is seeking a Data Analyst to become an active member of the Education Policy Initiative and the Michigan Education Data Center. The Education Policy Initiative brings together nationally-recognized scholars focused on the generation and dissemination of policy-relevant education research. We work in partnership with schools, districts, and state agencies to conduct cutting-edge research that inform both policy and practice. Large-scale administrative datasets from multiple government agencies, nonprofits and other sources are the basis of all of our analysis and research. The Michigan Education Data Center accepts, manages and distributes education data owned by the State of Michigan to researchers nationwide.
This position will be located at the Ford School of Public Policy. The Data Analyst will have to analyze administrative education data obtained with the goal of evaluating critical and relevant education policies cogent to Michigan’s public school students. Additional responsibilities included managing and processing large-scale administrative data sets central to work of researchers at the U-M and across the nation. We seek applicants who are excited to work in an innovative and fast-paced environment.
Please note: we have posted this position at the associate level, however we will consider more senior candidates for the intermediate level as well, so we encourage all interested applicants to apply.
This position will serve as a Data Analyst for several research projects and will also support the overall mission of the Education Policy Initiative. Responsibilities include the following:
- Perform a wide range of data cleaning and merging procedures and prepare data sets for various statistical analyses
- Assist with data analysis and preparation of results for memos, spreadsheets, and presentations targeting both policymakers and academic audiences
- Demonstrate strong customer service, by responding in a timely, accurate, and professional manner to requests for data, as well as additional support, from internal and external stakeholders
- Develop and maintain a strong working knowledge of core EPI and MEDC data sets and connections between the various data elements to allow for accurate querying, data dissemination, and customer support
- Other responsibilities as assigned
- A bachelor’s degree in relevant social science field, data science or statistics
- Extensive relevant professional experience may be considered in lieu of a degree
- Expertise in one or more of the following programming languages; Stata, R, Python, SQL, or another comparable programming language
- Interest and/or experience in youth-focused policy areas, such as education, health, criminal justice, social welfare
- Strong written and verbal communication skills
- Excellent organizational skills and attention to detail
- Successful candidates will exhibit the ability to work in a fast-paced environment, handle multiple projects simultaneously, set priorities, and take initiative while keeping supervisors and project leads informed
- Commitment to principles of social justice, equity, diversity, and inclusion. For more information on the University’s commitment to these principles, please visit: https://diversity.umich.edu/
- A master’s degree in a relevant social science field, data science, statistics, or a relevant bachelor’s degree and two to four years of experience in a comparable role.
- Coursework in public policy of education, health, social welfare, or criminal justice; coursework in program evaluation
- Solid foundation in applied econometrics or statistics, including multiple regression (experience or related coursework at the BA or MA level)
- Experience working with large-scale, longitudinal, individual-level administrative datasets
- Demonstrated use of functions, classes, logging, debugging, version control and additional development essentials
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.