Summary
Florida State University is seeking a Prospect Research Analyst to support its Division of University Advancement and comprehensive fundraising campaign. The role focuses on prospect identification, data integrity, large-scale analysis, vendor model integration, reporting and visualization, workflow automation, and the responsible deployment of AI tools within a Salesforce-based fundraising CRM.
Responsibilities
- Support prospect identification efforts through data-driven segmentation, screening, and lead generation that feed qualification and portfolio assignment
- Collaborate with prospect development colleagues to ensure analytical and modeling work strengthens the identification-to-qualification pipeline
- Monitor, assess, and improve the quality, consistency, and completeness of prospect and constituent data, identifying issues and leading or contributing to remediation efforts
- Develop and document business rules, data standards, and quality-control processes that support reliable analysis and reporting
- Conduct large-scale analysis of constituent, giving, engagement, and external data to surface patterns, segments, and opportunities that inform fundraising and portfolio management strategy
- Operationalize vendor-provided models and scores (wealth, capacity, propensity, affinity) by integrating them into the CRM, validating their performance, and translating outputs into usable guidance for the front line
- Support the development, testing, and refinement of internally built predictive and descriptive models in partnership with team and division colleagues
- Design and develop functional requirements for reports and other BI products that make analytical insight accessible to gift officers, managers, and leadership
- Translate stakeholder questions into clear analytical requirements and deliver reporting that supports portfolio management, pipeline analysis, and performance measurement
- Identify manual, repetitive, or error-prone processes across the prospect development workflow and assist in the design of automated solutions to improve efficiency, accuracy, and scalability
- Participate in the design, requirements gathering, and validation of AI-enabled products and tools, contributing data and domain expertise to ensure solutions are accurate, useful, and fit for purpose
- Apply AI and automation approaches to streamline research and data workflows, and help evaluate outputs for reliability and alignment with professional and ethical standards
Skills
- A Bachelor's degree and two years of experience; or a high school diploma or equivalent and six years of experience. (Note: post-high school education may substitute for experience at the equivalent rate.)
Qualifications
Must Haves
- A Bachelor's degree and two years of experience; or a high school diploma or equivalent and six years of experience. (Note: post-high school education may substitute for experience at the equivalent rate.)
Benefits
- Benefits programs
- Wellness programs
- Recognition programs
- Employee development programs
- Retirement contributions
- Earned leave
- Other employment-related perks
- Eligible for remote work based on the current position/job functions