How to Apply
A cover letter is required for consideration and must be attached as the first page of your resume.

Flexible work location options are available for this position.

This offer is contingent on meeting all employment authorization and applicable regulatory immigration requirements before your start date. Also, your continued employment with the University requires you to maintain valid employment authorization and to comply with all applicable immigration regulations.

The University of Michigan Development Community is committed to growing and retaining a diverse and thriving workforce, demonstrating respect and inclusivity for all.

Why Work at Michigan?
In addition to a career filled with purpose and opportunity, the University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include:

Generous time off
A retirement plan that provides two-for-one matching contributions with immediate investing
Many choices for comprehensive health insurance
Life insurance
Long-term disability coverage
Flexible spending accounts for healthcare and dependent care expenses

Responsibilities
Reports to:  Director of Data Science and Decision Support

Direct reports:  N/A

What you will do: We are a small team of data lovers using data for the common good, helping the University of Michigan improve our world through data-informed philanthropy. We not only transform data into action, we do so mindfully, maintaining a holistic commitment to diversity, equity and inclusion in all that we do. You will gain insight from messy, real-world data by writing understandable and reusable code for statistical analysis and data mining, and by developing interactive dashboards and web applications. A typical work week will include a large amount of programming and algorithm development, a fair amount of data management, analysis, visualization, outreach, usability testing, brainstorming, and other tasks.

Required Qualifications
 A commitment to diversity, equity and inclusion in the workplace.
Bachelor’s degree in fields such as Data Science, Information Systems, Computer Science, Mathematics, Statistics, Business Intelligence, Analytics, Finance, Information Management or similar.
2+ years of experience with demonstrated competencies in information retrieval, computer science, data analysis, or similar fields.
The desire to do serious data munging and data wrangling. At minimum, we expect demonstrated experience with SQL plus knowledge of another data preparation language, and ability to use these tools to merge large datasets, locate and clean messy records, recode missing values, convert between data formats, and construct standardized datasets for wider use.
Commitment to maintaining project documentation.
Experience turning data into action, emphasizing the ability to understand and use large datasets representing complex phenomena to present findings in a clear and cohesive manner.  Must demonstrate ability to present information in different settings and impart understanding of complex ideas to others.
The ability to summarize and translate data into meaningful stories.
Curiosity and teamwork skills to collaborate with all kinds of peers and to handle challenging questions head-on.
Exposure to developing interactive, reusable and self-service online analytics tools.
Familiarity with, or interest in learning, multiple machine learning and data mining concepts and techniques.
Comfort with the nuances of the higher education environment.
Exposure to cloud-based analytics tools.

Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department.  Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment.