Data Management Fellow

The Center for Academic Innovation (CAI) is hiring a Data Management Fellow. CAI is charged with creating a culture of innovation in learning. As a catalyst for academic innovation we aim to shape the future of learning and redefine public residential education at a 21st century research university by unlocking new opportunities and enabling personalized, engaged, and lifelong learning for the U-M community and learners around the world. (Read more about CAI). 

Potential Responsibilities

We have multiple projects currently available to work on by a Student Fellow depending on the applicant’s skills, experience, and interest. Projects involve a high level of self-motivation and attention to detail. 

  • Data Documentation Project: We are looking to increase accessibility of large and complex datasets to staff and researchers to better inform platform development and broader educational research strategies. This project will involve exploring large datasets, identifying entity relationships and definitions, and producing documentation suitable for semi-technical users.
  • Data Visualization Project: We are looking to improve our self-service reporting to business and research stakeholders. This project will involve exploring, querying, and visualizing data primarily through the use of Tableau, but may involve python/R and SQL skills depending on the applicant and needs of the project.

Required Qualifications

  • Currently pursuing a bachelor’s, master’s degree in data curation, data science, statistics, informatics, or a related field.
  • Demonstrated ability to be self-directed and work independently or as part of a rapidly changing, multidisciplinary, multicultural, and collaborative environment.
  • High level of attention to detail.

Desired Qualifications

  • Familiarity with relational databases or complex datasets.
  • Experience creating data visualizations for a non-statistical audience. (Data Visualization)
  • Experience with Tableau, and familiarity with SQL and Python/R. (Data Visualization)
  • Familiarity with data curation/documentation principles. (Data Documentation)

Hours 

10 to 15 hours per week 

Start Date

Beginning of January 2023 or when position is filled.

How to Apply

Send a cover letter and resume to erinvm@umich.edu. (Please include “Data Management Fellow Application” in your subject line.) Submissions will be reviewed on a rolling basis and will continue to be accepted until the position is filled.

screencap of Sean Swider using ViewPoint tool