Professional Experience/ Qualifications
- 5+ years in a high-level analytics role, with at least 3 years in a fundraising or non-profit environment.
- Proficiency in statistical tools, Tableau, Power BI, advanced SQL preferred.
A Bachelor’s in Statistics, Data Science, Economics, or a related quantitative field.
Department Statement
Accountabilities
This position serves as the primary architect of the university’s fundraising intelligence. This role focuses on high-level data modeling, analytics, and executive level reporting/data visualizations to identify growth opportunities and provide the strategic roadmap for the advancement team, as well as the data partner for frontline fundraiser metrics and portfolio management.
Core accountabilities:
Advanced Prospect Analytics & Innovative Data Intelligence (60%)
- Lead Generation & Data Mining: Proactively identify untapped donor pools using cluster analysis and behavioral data (e.g., event attendance, digital engagement, and giving patterns).
- Visualization & Dashboards: Design and own the suite of interactive dashboards (Tableau/Power BI) used by senior leadership to track institutional KPIs.
- Environmental Scanning: Analyze external economic trends and philanthropic data to forecast long-term giving potential, and apply these trends to internal data analyses.
- Utilize AI-powered tools and other advanced/emerging technologies to improve workflows and data insights.
- Lead the integration of appropriate emerging technologies-including AI and advanced visualization-into department workflows to increase the efficiency and depth of prospect discovery.
Executive Level Reporting & Leadership Presentation (25%)
- Strategic Briefings: Translate complex datasets into clear, “board-ready” presentations for the VP of Advancement and other senior leadership.
- Campaign Analysis: Act as the lead analyst for the campaign, providing feasibility data and progress-to-goal visualizations.
- Present data findings at relevant meetings to drive a culture of data-informed decision-making.
- Ethical Data Stewardship: Maintain rigorous standards for donor privacy and data security, ensuring all lead generation and behavioral tracking comply with institutional policies and regional regulations (e.g., GDPR, CCPA ). Serve as a champion for the “ethical use of data,” balancing data discovery with the protection of donor trust and the university’s reputation.
Strategic Portfolio Consultation (15%)
- Portfolio Health Metrics: Partner with frontline fundraisers to identify areas of potential within their portfolios, provide monthly audit reviews based on CRM data, and identify potential prospects for evolving university initiatives.
- Targeted Strategy Sessions: Conduct quarterly, data-focused reviews with the Director to suggest “re-tiering” or shifts in portfolio focus based on analytics.
- Policy Guidance: Advise on relationship management protocols based on data trends and internal written policies (e.g., recommending a maximum “time-in-stage” based on historical success rates).
06/12/2026
Job Close Date
Open Until Filled
Yes
Special Instructions Summary
EEO Statement
The University recognizes that equal employment opportunity can only be achieved through demonstrated leadership. It is the Policy of the University to recruit, employ, retain, promote, and train employees on the basis of skills and experience, capacity to do the job, and valid job qualifications without regard to any characteristics protected by applicable local, state or federal laws.
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