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Senior Data Analyst
Penn Information Systems & Computing. Collect, validate, maintain, analyze, and disseminate data supporting the School's teaching and research mission .
Posted 11/6/2026full-timePhiladelphia • Pennsylvania • United StatesSenior💰 $84,961 - $120,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, visualization, and reporting, with a strong focus on maintaining data quality and integrity. Capable of managing complex projects and providing strategic insights to leadership while ensuring compliance with data governance principles.
Highest-signal resume keywords
Data AnalysisData VisualizationProject ManagementDatabase ManagementData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisSurvey DesignDashboard DevelopmentData Quality AssuranceData ValidationProgramming Languages (Python, R)Statistical AnalysisData ReportingData CleaningData Compilation
Soft Skills
Excellent Communication SkillsConfidentiality ManagementCollaborationStrategic ThinkingProblem Solving
Tools & Technologies
TableauPower BILearning Management SystemsSurvey PlatformsProject Management Tools
Industry Keywords
Higher EducationData Governance PrinciplesEthical Data UseExecutive-Level Decision-MakingNational Higher Education Context
Tech Stack
Tools & technologiesPythonTableau
About the role
Key responsibilities & impact- Collect, validate, maintain, analyze, and disseminate data supporting the School's teaching and research mission
- Support the Dean, Deputy Dean, and Academic and Administrative departments with data and analysis
- Produce reports and information for University leadership and external organizations
- Provide actionable insights through advanced data analysis, reporting, and visualization
- Facilitate data-driven decision-making, strategic planning, policy development, and assessment and evaluation
- Develop and execute formalized approaches to process design and maintenance, policy development, and procedures ensuring data quality and integrity
- Work with sensitive and confidential data
- Design, manage, and execute complex projects with stakeholders and end-users
- Lead the full life cycle of faculty activity and performance compilation, analysis, and reporting
- Collect, compile, and analyze faculty data and documentation
- Manage faculty compensation reporting, including annual faculty merit and summer research compensation
- Design, manage, and execute external ranking surveys, internal surveys, online course evaluations, and faculty reporting projects
- Collaborate with IT on software conversions and modifications
- Gather data from departments and divisions and communicate with external constituents, faculty, staff, students, and alumni
- Ensure data quality and validity and deliver project results
- Identify trends and patterns in complex datasets
- Create Tableau and Power BI visualizations, dashboards, and data stories for non-technical stakeholders
- Apply advanced analytical techniques to transform complex datasets into understandable formats
- Provide recommendations for actions or next steps
- Manage ad hoc and cyclical reporting requests from the Dean and Deputy Dean
- Design, code, test, debug, and document data processes using disparate data sources
- Set up automated reporting processes, filter and clean data, and develop data validation and quality assurance processes
- Maintain data processes, documentation, and reporting structures
- Work with Wharton Computing to ensure applications, analysis, and databases are secure, reliable, and scalable
- Design quality assurance procedures and contribute to data governance and security efforts
- Standardize data maintenance and perform systematic audits to ensure data accuracy
- Perform other duties and responsibilities as assigned
Requirements
What you’ll need- 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 such as Tableau and Power BI
- Proven ability to develop and maintain dashboards for executive-level decision-making
- Experience managing and leading large, complex data projects across multiple stakeholders and departments
- Strong knowledge of database management and query optimization
- 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
- Understanding of formalized approaches to system design and maintenance
- Experience with automatic reporting processes and developing or implementing quality assurance and data validation protocols
- Proven ability to provide strategic insights and recommendations to leadership and non-technical stakeholders
- Excellent written and verbal communication skills
- Ability to prepare and present clear, concise reports for senior administrators
- Ability to maintain confidentiality and manage sensitive information responsibly
- Master's degree in data analytics, statistics, business, information systems, or a related field preferred
- Experience with survey platforms, learning management systems, and faculty reporting systems preferred
- Familiarity with project management tools and methodologies preferred
- Understanding of the national higher education context preferred
- Applicants must submit a cover letter detailing their interest and alignment with the position responsibilities
- Background checks may be required after a conditional job offer
Benefits
Comp & perks- Comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits
- Flexible spending accounts for eligible health care and dependent care expenses
- Tuition assistance for employees, spouses, and dependent children
- Retirement plans, including Basic, Matching, and Supplemental plans
- Pre-tax or Roth retirement savings options with TIAA and Vanguard investment options
- Substantial time away from work
- Long-term care insurance
- Wellness and work-life programs and resources
- Professional and personal development resources
- Access to University libraries, athletic facilities, arboretum, art galleries, cultural and recreational activities
- Discounts and special services for arts, entertainment, transportation, mortgages, cars, cellular phone service, movie tickets, and theme parks
- Flexible work options involving non-traditional work hours, locations, and/or job structures
- Forgivable home ownership loan for eligible employees in West Philadelphia
- Adoption assistance for qualified expenses, up to two adoptions per household
- Hybrid eligible work arrangement