Senior Institutional Research Analyst & Consultant

University of Notre Dame•Notre Dame, IN

6h•$120,000•Hybrid

About The Position

Institutional Research, Innovation, and Strategy (IRIS) provides strategic insight to Notre Dame's senior leaders. The Senior Institutional Research Analyst & Consultant pairs strong research design and quantitative skills with a drive to keep learning, using AI and cutting-edge analytic tools to work more efficiently, test new methods, and help the team do the same. The role independently designs and carries out studies that answer leaders' questions, consults with campus partners on information needs and data collection strategies, and serves as lead analyst for one or more data domains. It uses AI, automation, and other emerging tools to streamline analysis and reporting, and translates findings into clear reports, dashboards, and presentations for the Executive Officers, senior administrators, and the Board of Trustees. The analyst also guides and trains colleagues and represents the University with consortia and data-sharing partners. IRIS is the University's in-house institutional data analysis and consulting group, providing strategic insights and trusted counsel to the President and senior leadership on pressing issues across campus and higher education. Its work includes unit strategic plans, administrative unit reviews, institutional data reporting, and innovation design and implementation. The team partners with the Enterprise & Data Analytics team in the Office of Information Technologies on the University's Enterprise Data Warehouse and is exploring how AI can expand analysts' capabilities. The position is located in South Bend, Indiana. After onboarding, it may be performed remotely up to two days per week, in alignment with University policy. A resume and cover letter are required.

Requirements

Bachelor's degree.
Three or more years of experience in data analysis, institutional research, survey research, or a related field.
Strong grounding in research design and quantitative methods, such as regression and multivariate analysis, and parametric and non-parametric statistics.
Experience preparing and integrating complex data from multiple sources.
Eagerness to learn and apply AI and other emerging analytic tools, with sound judgment about verifying results.
Ability to manage multiple projects independently and meet deadlines.
Commitment to confidentiality and ethical data practices.

Nice To Haves

Advanced degree in statistics, economics, the quantitative social sciences, or a related field.
Demonstrated use of AI tools to automate workflows, write and review code, or analyze text.
Experience with advanced methods such as predictive modeling, causal inference, text analytics, or machine learning.
Expertise in survey research methods and platforms such as Qualtrics.
Familiarity with tools such as R, Python, SQL, and Tableau, or the ability to learn them quickly.
Experience leading research projects from design through reporting and advising senior leaders.
Knowledge of higher education data, such as IPEDS and the Common Data Set, and a strong interest in the mission of higher education.

Responsibilities

Independently design and carry out studies that answer leaders' questions, selecting research designs, data sources, and statistical methods.
Consult with campus partners to clarify information needs, scope requests, and recommend data collection strategies, including surveys.
Use AI, automation, and other cutting-edge tools to streamline analysis and reporting, and share effective approaches with the team.
Serve as lead analyst for one or more data domains, including recurring reporting and external submissions.
Turn findings into clear reports, dashboards, and presentations for Executive Officers, senior administrators, and the Board of Trustees.
Guide and train other analysts.
Represent the University with consortia and data-sharing partners.