Business Intelligence Specialist, Prospect Management and Analytics
Penn State UniversityAbout the role
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Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
The Division of Development and Alumni Relations (DDAR) is seeking a Business Intelligence Specialist (Intermediate Professional) to support analytics, reporting, and data-informed decision making within the Office of Prospect Management and Analytics.
The Office of Prospect Management and Analytics empowers gift officers and DDAR leadership with timely, accurate insights that support effective fundraising, prospect strategy, and engagement efforts. Through thoughtful analytics and research, the office contributes to the successful achievement of DDAR’s philanthropic and engagement goals.
Reporting within Prospect Management and Analytics, the Business Intelligence Specialist will serve as a skilled analytical contributor, partnering with advancement leadership, development officers, prospect management staff, and colleagues across DDAR. This role is well-suited for a professional with demonstrated data visualization and consultative analytical skills to a customer focused, collaborative, mission-driven environment.
Support the development and delivery of reports, dashboards, and analyses that inform fundraising performance, prospect pipeline activity, portfolio management, and donor engagement
Access and analyze data from University and DDAR systems to answer business questions, identify trends, and support tactical and operational decision making
Design, build, and maintain user-friendly dashboards and recurring reports using established business intelligence tools and standards
Assist in the development and documentation of key performance indicators (KPIs) and metrics aligned with DDAR goals and reporting needs
Write, test, and optimize scripts and data extracts to ensure accurate and reliable reporting in BI technologies
Collaborate with cross-functional stakeholders on analytical projects, data validation, and continuous improvement of reporting processes
Translate analytical outputs into clear compelling data visualizations for non-technical audiences, with guidance from strategic partners as appropriate
Provide support and training to end users on business intelligence tools, dashboards, and data literacy
Contribute to data quality, documentation, and standardization efforts to improve consistency and usabilit
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