Associate Director Research Analytic positions focus on delivering results in their domain. This page aggregates open Associate Director Research Analytic roles and what employers typically expect.
## Company Description The University of Notre Dame is more than a workplace; it is a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person—mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University’s mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you! ## Job Description The Associate Director of Research Analytics is a key role within Notre Dame Research (NDR) responsible for advancing data-driven decision-making across the University’s research enterprise. Reporting to the Director of Research Effectiveness and Analytics, this position transforms complex research administration data into actionable insights through analytics, business intelligence, data visualization, and predictive modeling. The Associate Director supports research leadership, colleges and schools, departments, centers, and institutes by developing reporting solutions, strengthening data integrity, and advancing analytical capabilities that support the University’s growing sponsored research portfolio. This role also provides direct leadership and development of a team of Business Intelligence Analysts while collaborating with stakeholders across campus to promote a culture of data-informed decision-making and continuous improvement. Key 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. ## 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 langu…