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Associate Director, Prospect Analytics and Reporting

Job in Hamilton, Madison County, New York, 13346, USA
Listing for: Colgate University
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 73500 USD Yearly USD 70000.00 73500.00 YEAR
Job Description & How to Apply Below

Associate Director, Prospect Analytics and Reporting

Position Title
- Associate Director, Prospect Analytics and Reporting

Job Category
- Professional/Administrative

Division
- Office of Advancement

Department
- Prospect Management and Research

Work Arrangement type
- Remote – may work fully from an approved remote location within designated states/regions. Occasional travel to campus/office may be required.

Hiring Wage/Salary Range - $70,000-$73,500

Professional Experience/Qualifications - 5+ years in a high-level analytics role, with at least 3 years in a fundraising or non-profit environment. Proven ability to present to senior level leadership, turning raw numbers into a strategic narrative, and providing digestible narratives for those unfamiliar with complex data.

Preferred Qualifications
- Proficiency in statistical tools, Tableau, Power BI, advanced SQL preferred.

Education - A Bachelor's in Statistics, Data Science, Economics, or a related quantitative field.

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).
Position Requirements
10+ Years work experience
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