Associate Director of Research Analytics

Key Responsibilities

• Lead the development and implementation of research analytics strategies that support institutional planning and operational decision-making.
• Create dashboards, reports, data visualizations, and analytical models using tools such as Power BI, Tableau, or similar platforms.
• Develop forecasting models and trend analyses to support planning related to research funding, proposals, awards, expenditures, and indirect cost recovery.
• Translate complex research administration data into clear, actionable insights and presentations for University leadership and stakeholders.
• Oversee institutional reporting efforts, including sponsored research portfolio reporting and contribute to external data submissions such as the NSF Higher Education Research and Development (HERD) Survey.
• Partner with research administration, finance, information technology, and institutional research teams to improve data models, reporting processes, and analytics capabilities.
• Develop and maintain automated data pipelines and analytical workflows using SQL, Python, R, or similar technologies.
• Evaluate emerging technologies and identify opportunities to leverage automation, artificial intelligence, and advanced analytics to improve research administration processes.
• Serve as a strategic analytics partner and technical advisor across the research enterprise.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Information Systems, Business Analytics, or a related quantitative field.
• Minimum of five (5) years of experience in data analytics, business intelligence, research analytics, institutional research, or a related field.
• Experience developing dashboards, reporting solutions, data models, and analytical tools.
• Experience supervising, mentoring, or leading technical staff or business analysts.
• Proficiency with SQL and at least one programming language such as Python, R, or SAS.
• Experience with business intelligence and visualization platforms such as Power BI or Tableau.
• Experience working with enterprise data systems, data warehouses, and complex datasets.
• Strong analytical and problem-solving skills with the ability to interpret complex data and identify meaningful insights.
• Ability to communicate technical information clearly to executive and non-technical audiences.
• Strong leadership, collaboration, and relationship-building skills.
• Excellent project management and organizational abilities with the capacity to manage multiple priorities.
• Commitment to data integrity, innovation, and continuous improvement in support of the University’s research mission.

Preferred Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Business Analytics, or a related discipline.
• Experience working within a research-intensive higher education environment, particularly in sponsored research administration.
• Familiarity with electronic Research Administration (eRA) systems, research metrics, and national reporting standards such as NSF HERD.
• Experience with advanced analytics, automation, artificial intelligence, machine learning, APIs, or cloud-based technologies.

Additional Information

Please include a resume and cover letter with your application. Salary up to $125,000, commensurate with experience. Applications due by 7/17/26

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.