• Faculty Data Projects: Serve as project lead for full life cycle of compilation, analysis, and reporting on faculty activity and performance for the Dean and Deputy Dean. Collect, compile, and analyze relevant data and documentation from faculty and academic departments. Facilitate effective communication across relevant departments with regard to confidential and sensitive data. Manage processes and reporting related to faculty compensation, including annual faculty merit and summer research compensation.
• Internal and External Survey Projects: Design, manage, and execute project life cycles in the context of both external ranking surveys and internal surveys and data collection projects such as external ranking surveys, online course evaluations, and faculty reporting. Plan, organize, and manage complex details of data projects, including collaboration with IT on software conversions and modifications, gathering data from relevant departments and divisions, communicating with external constituents, faculty, staff, students, and alumni, ensuring data quality and validity, and delivering results.
• Data Analysis & Visualization: Identify trends and patterns in complex datasets. Use visualization tools (e.g. Tableau, Power BI) to create compelling data stories and dashboards that communicate complex findings to non-technical stakeholders and facilitate decision making. Apply advanced analytical techniques to transform complex data sets into intuitive and easy-to-understand formats, providing contextual information and insights that help stakeholders understand the significance and implications of data. Provide recommendations for actions or next steps where appropriate.
• Data Reporting Projects: Manage assigned ad hoc and cyclical reporting requests from the Dean and Deputy Dean in a timely and client-centered manner. Utilizing data from disparate sources, design, code, test/simulate, debug, and document data processes. Set up automated processes to produce regular data reports, filter and clean data, and develop data validation and quality assurance processes for each project.
• Data Governance & Administration: Lead collaborations with colleagues to maintain data processes, documentation, and reporting structures for the Dean and Deputy Dean's Office. Work with Wharton Computing to ensure that applications, analysis, and databases are secure, reliable, and scalable to support the growing needs of the school. Design quality assurance procedures for data and projects. Maintain up-to-date knowledge of emerging technologies to ensure that systems remain current. Contribute to data governance and security efforts, and participate in efforts to standardize data maintenance and perform systematic audits to ensure data accuracy.
• Other duties and responsibilities as assigned

• A bachelor's degree in data science, statistics, economics, business analytics, computer science, or a related field.
• 4-6 years of progressively responsible professional experience in data analysis, survey design, project management, and reporting in a higher education setting strongly preferred.
• Proficiency in data visualization and analytics tools (e.g. Tableau, PowerBI) with proven ability to develop and maintain dashboards for executive-level decision-making.
• Demonstrated experience managing and leading large, complex data projects, including collaboration across multiple stakeholders and departments.
• Strong knowledge of database management, query optimization, as well as knowledge of programming languages such as Python or R for advanced data analysis.
• Understanding of data governance principles related to data quality, security, access, and ethical use, as well as an understanding of formalized approaches to system design and maintenance.
• Experience automatic reporting processes and developing/implementing quality assurance and data validation protocols.
• Proven ability to provide strategic insights and recommendations to leadership and other non-technical stakeholders based on data analysis.
• Excellent written and verbal communication skills, with the ability to prepare and present clear, concise reports for senior administrators.
• Demonstrated ability to maintain confidentiality and manage sensitive information responsibly.

Preferred Qualifications:

• Master's degree in data analytics, statistics, business, information systems, or a related field.
• Experience with survey platforms, learning management systems, and faculty reporting systems.
• Familiarity with project management tools and methodologies.
• Understanding of national higher education context.