EDUCATIONAL DATA ANALYST

University of Wisconsin

Madison, WI

ID: 7126587
Posted: February 24, 2023
Application Deadline: Open Until Filled

Job Description

JOB SUMMARY:
This position works closely with colleagues in the Analytics group, and partners in Academic Affairs, to report on data from multiple structured and unstructured sources, including confirming accuracy, organizing, and cleaning the data. Work ranges from ad hoc query development, to large-scale school and accreditation reporting, and possible data visualization projects, and may be done independently, or in collaboration with team members.

This position is part of the Analytics team in the University of Wisconsin School of Medicine and Public Health (SMPH) Informatics and IT group, providing key data analysis and reporting to senior leadership, students, and other stakeholders across SMPH.

Strong candidates for this role will have a good technical foundation in querying and communicating data, a love of learning, and an ability to develop relationships across reporting lines. Excellent candidates will be able to adapt their communication style for collaboration with technical colleagues, diverse subject matter experts, and leadership, and are excited by supporting better outcomes for our students.

The Educational Data Analyst will report to Elizabeth Simcock, Analytics Manager. The Analytics group provides data infrastructure, integration, and reporting to the University of Wisconsin School of Medicine and Public Health (SMPH). We partner with our project stakeholders long-term and have a mindset of continuous process improvement, with goals of improving data literacy and expanding data-informed decision-making. All projects are done with an eye toward future sustainability and sharing of effort across multiple data domains. We also partner closely with both campus and UWHealth in support of both institution-wide and cross-institution data stability.

SMPH is committed to being a diverse, equitable, inclusive and anti-racist workplace and is an Equal Employment Opportunity, Affirmative Action employer. Applications from Black, Indigenous and People of Color (BIPOC) individuals, LGBTQ+ and non-binary identities, women, persons with disabilities, military service members and veterans are strongly encouraged.

RESPONSIBILITIES: BI Developer II (IT097)
BI Developer III (IT098)
INSTITUTIONAL STATEMENT ON DIVERSITY:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

EDUCATION:
Preferred
Bachelor's Degree

QUALIFICATIONS:
Required:
- 2 or more years of experience with data management
- Great attention to detail
- Curiosity about the data you work with, and excellent problem solving skills
- Clear & effective written and verbal communication
- Experience writing SQL queries against relational databases for standard and custom reports

Additionally required to be considered for level III:
- Demonstrated ability in mentoring colleagues in best practices regarding data use and data communication
- Examples of a proactive approach to handling data issues

Preferred:
- Experience with visualization software such as Qlik, Tableau, or Power BI
- Experience writing and troubleshooting advanced SQL queries
- Ability to tell a story with data
- Prior professional experience in an education setting
- Ability to formally present analytical conclusions to leadership, and to communicate technology concepts effectively with technically proficient and non-technically proficient individuals

WORK TYPE:
Full Time: 100%

It is anticipated this position will be fully remote. We have an on campus location should a finalist prefer to work onsite.