Senior Analyst, Prospect Management

Department
 

ARD Prospect Management 1.1

About the Department
 

Alumni Relations and Development (ARD) engages alumni (~220k), current students, parents, and friends of the University through intellectual, professional, and social activities on campus, around the world, and online. ARD raises $600 Million annually to support faculty and researchers, practitioners and patients, and students and programs across the University. Our work supports priorities in every division, school, department, and institute.

The Prospect Development and Decision Support (PDDS) team maximizes the value of fundraising data and systems to Alumni Relations and Development (ARD) staff and the University. We offer insight derived from analytics and qualitative research to drive fundraising strategy. We help staff members to work more effectively with data and technology through staff education programs, process and system design services, and change management planning. Working at the individual, team, and organizational level, we help make ARD staff informed, efficient, and successful in their efforts to maximize the University of Chicago’s fundraising and engagement potential.

Job Summary
 

Prospect Management, as a component of Prospect Development, involves strategically analyzing and optimizing donor portfolios to enhance fundraising efficiency and success. We value potential as much as experience, seeking candidates who are eager to grow and excel in this dynamic field.

This position conducts biographical and financial research on individuals, corporations, and/or foundations to support fundraising. Identifies prospective donors using research and analysis through use of standard procedures. Forecasts and measures the effectiveness of the fiscal year and overall campaign progress, which will help employees in the role acquire higher-level knowledge and skills.

Responsibilities

• Conducts reviews focused on pools, portfolios, and pipelines to maximize fundraising potential.
• Monitors portfolio health and takes proactive action to address portfolios not meeting standards through prospect assignment strategy and data-informed recommendations focused on improving donor engagement.
• Tracks and reports on the performance of portfolios and pipelines, using key metrics to identify trends, successes, and areas for improvement.
• Develops and presents data-informed strategic analyses and recommendations focused on helping officers and staff manage their pools, portfolios, and pipelines effectively.
• Monitors and audits prospect management data to maintain a high level of data quality and integrity.
• Ensures that gift officers are aware of and adhere to prospect management policies, providing support and resources to facilitate compliance.
• Serves as a central point of contact for officers when needed and facilitates connection and collaboration between gift officers and relevant ARD teams. Establishes a feedback loop with gift officers to gather their input on prospect management practices, and uses this feedback to continuously improve processes and strategies.
• Uses advanced technology and data tools such as Salesforce, Tableau, Business Objects, Python, and CRM Analytics to create reports and dashboards to generate insights.
• Stays current with industry trends and innovative practices in portfolio and pipeline management, integrating new approaches to improve overall effectiveness of the program.
• Trains officers and other applicable staff on policy and best practices for portfolio and pipeline management.
• Works with prospect management University-wide to design and execute strategies to grow the size of the prospect pool with a moderate level of guidance and direction.
• May provide guidance to analysts, train staff members on fundraising, report writing, and research.
• Performs other related work as needed.

Minimum Qualifications
 

Education:

Minimum requirements include a college or university degree in related field.

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Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

• Bachelor’s degree.

Experience:

• Minimum of two years experience analyzing and synthesizing complex data sets.

Technical Skills or Knowledge:

• Demonstrated skill and knowledge