Senior Institutional Research Analyst & Consultant

University of Notre Dame•Notre Dame, IN

7d•Hybrid

About The Position

The Senior Institutional Research Analyst & Consultant works in the University of Notre Dame’s Institutional Research, Innovation, and Strategy (IRIS), an in-house data analysis and consulting group that provides strategic insight and trusted counsel to the President and senior leadership. The role independently designs and conducts studies that address leaders’ questions, selecting appropriate research designs, data sources, and statistical methods. It consults with campus partners to clarify information needs, scope requests, and recommend data collection strategies, including surveys. The analyst serves as lead analyst for one or more data domains, such as students, faculty, courses, or surveys, and handles recurring reporting and external submissions. The role turns findings into reports, dashboards, and presentations for Executive Officers, senior administrators, and the Board of Trustees. It also uses AI, automation, and other emerging analytic tools to streamline work, shares effective approaches with the team, guides and trains other analysts, and represents the University with consortia and data-sharing partners. IRIS works on cross-functional initiatives including unit strategic plans, administrative unit reviews, institutional data reporting, and innovation design and implementation. It 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 support analysts. The position is located in South Bend, Indiana, and may work remotely up to two days per week after onboarding, in accordance with University policy.

Requirements

Bachelor’s degree.
At least three years of experience in data analysis, institutional research, survey research, or a related field.
Strong grounding in research design and quantitative methods, including 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, 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 R, Python, SQL, and Tableau, or 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 conduct studies to 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 emerging analytic 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.
Prepare 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.