Note: The job is a remote job and is open to candidates in USA. The University of Notre Dame is a vibrant, mission-driven community where every employee is valued and supported. The Associate Director of Research Analytics is responsible for advancing data-driven decision-making across the University’s research enterprise by transforming complex research administration data into actionable insights through analytics and business intelligence.
Responsibilities
- Lead the development and implementation of research analytics strategies that support institutional planning and operational decision-making
- Develop and maintain dashboards, reports, data visualizations, and analytical models using tools such as Power BI, Tableau, or similar platforms
- Create 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
- Establish data governance practices and quality standards to ensure accuracy, reliability, and consistency of research data
- Evaluate emerging technologies and identify opportunities to leverage automation, artificial intelligence, and advanced analytics to improve research administration processes
- Supervise, mentor, and develop Business Intelligence Analysts by providing guidance, managing workloads, and supporting professional growth
- Serve as a strategic analytics partner and technical advisor across the research enterprise
Skills
- 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
- 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
Company Overview
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