Data and Statistical Analysis:Develops and maintains descriptive, predictive, and prescriptive analytics and consumable reports, dashboards, and other analytical tools to provide University leadership and various stakeholders with necessary data to support decision-making.Applies advanced statistical modeling, reusable and scalable coding, data visualization techniques, and other analytical skills to translate business logic and produce deliverables in response to executive leaderships requests.Provides advanced interpretation of complex analyses and data. Engages in summarizing, writing up, and presenting findings. Provides practical implications and applied suggestions.Engages in (and automates where possible) best practices for data-detailed activities, such as collecting, merging, cleaning, coding, validating, documenting, and updating datasets for analytical use.Assists with special projects and ad hoc data requests as needed.Collaboration, Communication, and Institutional Knowledge:Works both independently and collaboratively with cross-functional teams to develop exceptional data products to meet university needs.Engages and communicates with partners and stakeholders to manage requests, expectations, and deliverables.Effectively communicates project status, progress, risks, and issues to drive project to completion.Develops an in-depth knowledge of university data processes.Handles confidential information with tact and discretion.Implements best practices for data governance, data management, project management, and version control.