Senior Data Analyst

Role Overview

The Senior Data Analyst will be responsible for collecting, validating, maintaining, analyzing, and disseminating data in support of the Wharton School’s teaching and research mission. This role will work with a broad constituency of clients and collaborators, supporting the Dean, Deputy Dean, and Academic and Administrative departments.

What You Will Do

The Senior Analyst will provide detailed, actionable insights through advanced data analysis, reporting, and visualization, and facilitate data-driven decision making, strategic planning, policy development, and assessment and evaluation.

Why It Might Be a Fit

The ideal candidate will have a strong knowledge of database management, query optimization, and programming languages such as Python or R for advanced data analysis. They will also have experience managing and leading large, complex data projects, and providing strategic insights and recommendations to leadership and other non-technical stakeholders based on data analysis.

Requirements

• 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.
• 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.

Benefits

• Health, Life, and Flexible Spending Accounts
• Tuition
• Retirement
• Time Away from Work
• Long-Term Care Insurance
• Wellness and Work-life Resources
• Professional and Personal Development
• University Resources
• Discounts and Special Services
• Flexible Work Hours
• Penn Home Ownership Services
• Adoption Assistance

Tagged as: Data Analysis