Business Intelligence Specialist, College Of The Liberal Arts
The Pennsylvania State University
University Park, PA, US
Base: $76,700.00 - $129,500.00; bonus/equity: not ...
Hybrid
Proficiency in sql and database management
Experience with etl processes
Advanced statistical analysis skills
The Business Intelligence Specialist will serve as the College's administrative data expert, leveraging University data to inform decision-making that supports the College's mission
Job Summary
The Business Intelligence Specialist will serve as the College's administrative data expert, leveraging University data to inform decision-making that supports the College's mission.
Key responsibilities include designing self-service web-based dashboards, reports, and predictive models while collaborating with teams across the University on strategic planning projects.
The position offers a competitive benefits package including comprehensive medical coverage, robust retirement plans, and a generous 75% tuition discount for employees and eligible family members.
Matching Summary
The Business Intelligence Specialist will serve as the College's administrative data expert, leveraging University data to inform decision-making that supports the College's mission.
Salary
Base: $76,700.00 - $129,500.00; Bonus/Equity: Not specified; Benefits: Comprehensive medical, dental, vision, retirement plans, paid time off, 75% tuition discount
Skills & Requirements
Must-have
Proficiency in SQL and database management
Experience with ETL processes
Advanced statistical analysis skills
Data visualization tools like Power BI or Tableau
Ability to work independently and collaboratively
Nice-to-have
Familiarity with Penn State data systems
Experience working within academic environments
Knowledge of FERPA and IPEDS compliance frameworks
Experience with cloud-based data solutions
Strong interpersonal and communication skills
Key Requirements
Master's Degree with 6+ years experience OR Bachelor's with 3+ years
Authorized to work in the U.S. without visa sponsorship
Degree in Data Analytics, Applied Statistics, or related field preferred