College of Engineering Analyst

University of Wisconsin Madison•Madison, WI

4d•Onsite

About The Position

The Office of Data, Academic Planning & Institutional Research (DAPIR) is seeking an Institutional Policy Analyst to join its Institutional Research & Decision Support team. DAPIR supports the availability of accessible, usable, high-quality data and works with campus partners to advance an institution-wide data strategy and the use of data in strategic initiatives and planning. The team analyzes information about students, faculty, staff, and administrative operations to support UW-Madison’s strategic efforts. This position’s analytical work will support the College of Engineering. Work includes creating tables, reports, and analyses for internal use; developing and maintaining Tableau workbooks; analyzing survey data; responding to ad hoc requests and questions; presenting findings to stakeholders; and providing training on developed resources. The analyst is expected to apply an advanced understanding of relevant policy, data governance, and context to their work. The appointment is initially a 24-month fixed-term position and could potentially become ongoing, contingent on funding, program need, and performance. The position is primarily on site, with limited flexibility to work remotely; expectations will be discussed during interviews.

Requirements

At least 3 years of progressive experience in a role involving data and analysis activities.
Proficiency with a relational database query tool and SQL or similar database programming languages.
Experience working with large data sets from operational data systems.
Experience using data and analytical approaches to evaluate the effects of policy decisions and inform policy development and/or program evaluation.
Proficiency with general inferential statistical techniques and knowledge of predictive modeling concepts and techniques.
Demonstrated ability to learn new software and skills.
Skill in managing varied projects, priorities, and duties with exceptional attention to detail.
Proficiency with Microsoft Office, including Excel functions and pivot tables, PowerPoint, email, and calendaring.
Master’s degree or equivalent professional degree.

Nice To Haves

Knowledge of higher education issues and experience in higher education administration.
Knowledge of colleges of engineering and related programs.
Experience with high-stakes reporting, compliance and regulatory requirements, and sensitive or restricted data.
Proficiency with statistical software and programming tools such as R, Python, SAS, SPSS, or STATA.
Experience constructing data sets by combining data from multiple sources, including relational databases.
Ability to investigate operational processes and data sources, draw conclusions, and understand data limitations.
Experience guiding stakeholders to accurately define their questions.
Ability to communicate complex data analysis results clearly to stakeholders through written reports, interactive visualizations, and presentations.
Familiarity with data visualization tools such as Tableau, Power BI, or Qlik.
Interest in using AI tools as appropriate to improve workflow efficiency.
Degree in higher education administration, education policy, or a relevant applied social science field.

Responsibilities

Serve as liaison and primary contact for internal and external stakeholders on institutional reporting and compliance, external surveys, and institutional statistics and data.
Participate in establishing guidelines and procedures to ensure information sources are adequate, high quality, and reliable, and that information systems and databases manage, store, and retrieve institutional data according to policies, procedures, and reporting regulations.
Provide analysis and consultation on a variety of administrative-related matters.
Design, collect, analyze, and research institutional data according to established procedures and regulations.
Prepare and disseminate institutional statistical reports to institutional programs, working units, and leadership.
Create tables, reports, and analyses for internal use; create and maintain Tableau workbooks; analyze survey data; respond to ad hoc requests; present findings; and provide training support for developed resources.