Prospect Research Analyst - UHN Foundation

Apra Canada; Toronto; Hybrid; CAD 85,000 - 89,000; Full time

Benefits offered by this job

Extensive benefits package

Flexible work arrangements

Growth and development opportunities

Defined benefits pension plan

Parental leave top-up

Job summary

UHN Foundation is seeking a curious Prospect Research Analyst to support fundraising priorities through prospect research, identification and data analysis. The role involves researching donors, preparing profiles and briefing materials, and contributing to pipeline optimization.

The ideal candidate blends investigative research with data analytics, with experience in prospect research or related fields being an asset.

Qualifications

• Master of Library and Information Science (MLIS/MI) or related research/analytics discipline preferred or 3+ years of relevant experience.
• Experience conducting complex research and synthesizing information from multiple sources.
• Experience with prospect research or data analytics in a fundraising environment is a plus.
• Strong analytical skills and comfort working with quantitative information and datasets.
• Strong Excel skills and experience organizing, analyzing and interpreting data.
• Experience with Power BI, Tableau or similar BI tools is an asset.
• Familiarity with Raiser's Edge NXT is an asset.

Responsibilities

• Conduct research on individuals, corporations, foundations and other prospective donors to assess philanthropic capacity, interests and connections.
• Prepare concise prospect profiles, briefings, biographies and summaries for fundraising staff and leadership.
• Identify and qualify new prospects using internal data and external sources.
• Analyze philanthropy, wealth indicators and corporate affiliations relevant to fundraising.
• Perform relationship mapping to identify connections among donors and stakeholders.
• Support due diligence and reputational research for prospective donors and partners.
• Monitor developments affecting priority prospects and ensure ethical standards are followed.

Skills

Research & analysis

Excel proficiency

Analytical thinking

Quantitative data

Data visualization

Education

MLIS/MI or related

3+ years related experience

Tools

Power BI

Tableau

Raiser's Edge NXT

Job description

Prospect Research Analyst - UHN Foundation

VACANCY: Prospect Research Analyst

REPORTS TO: Manager, Development Research

LOCATION: Toronto, Ontario (hybrid working model)

No. of VACANCIES: One (1). This posting is for an existing vacancy for which we are currently undertaking recruitment

SALARY RANGE: $84,500 - $89,000 per annum

Please note: This range reflects the expected compensation for the candidates who meets the stated qualifications. Actual pay may vary based on experience, education, and internal compensation practices.

ABOUT UHN FOUNDATION

Part of University Health Network (UHN), Canada’s #1 hospital, UHN Foundation raises funds for research, education and excellence in patient care at Toronto General and Toronto Western hospitals, Toronto Rehab, The Michener Institute of Education at UHN and West Park Healthcare Centre. Our donor community is UHNITED to help us change the status quo of healthcare – helping recruit and train the brightest medical minds from around the world, develop new treatments for disease, and advance bold medical research.

UHN’s Toronto General Hospital has been ranked the #2 hospital in the world on Newsweek’s 2025 World’s Best Hospitals list, citing our leadership in transplantation, cardiac and vascular care, and surgical innovation.

The Foundation´s vision and mission is to enable global leadership and innovation in health by developing strong relationships with UHN stakeholders. We are committed to supporting UHN's vision to create a healthier world by embodying our values of integrity, accountability, collaboration and inclusion.

Together with our donors, we are helping Canada’s #1 hospital reimagine healthcare.

POSITION SUMMARY

UHN Foundation is seeking a curious, analytical and highly motivated Prospect Research Analyst to join the Prospect Research & Strategy team.

Reporting to the Manager, Prospect Research, the Analyst will support UHN Foundation’s fundraising priorities through a combination of prospect research, prospect identification and data analysis. The position will conduct research on prospective and existing donors, prepare research and briefing materials, analyze prospect and fundraising data, and contribute to projects that strengthen the Foundation’s prospect pipeline and support fundraising decision-making.

The successful candidate will combine strong investigative and information-research skills with an aptitude for working with data. While previous prospect research or fundraising experience is an asset, we are also interested in candidates with relevant transferable experience in information research, library and information science, data analysis or other research-intensive environments.

This role provides an opportunity to develop expertise at the intersection of prospect research, fundraising strategy and analytics within one of Canada’s leading healthcare foundations.

KEY RESPONSIBILITIES

Prospect Research & Identification

Conduct research on individuals, corporations, foundations and other prospective donors to assess philanthropic capacity, interests, affiliations and potential connections to UHN.

Prepare concise, accurate and strategically relevant prospect profiles, briefings, biographies and research summaries for fundraising staff and senior leadership.

Identify and qualify new prospective donors using internal information, external research resources and publicly available information.

Research and analyze philanthropy, wealth indicators, business interests, corporate affiliations and relationships relevant to fundraising activity.

Conduct relationship mapping to identify connections among prospective donors, existing donors, volunteers and the broader UHN community.

Support appropriate due diligence and reputational research concerning prospective donors and partners.

Monitor relevant business, philanthropic and public developments affecting priority prospects.

Ensure research is conducted and documented in accordance with established professional, privacy, confidentiality and ethical standards.

Data & Analytics

Work with prospect and fundraising datasets to support prospect identification, segmentation and analysis.

Analyze information related to prospect portfolios, assignments, fundraising activity, opportunities and pipeline development.

Use Excel and other analytical tools to organize, manipulate and interpret prospect and fundraising information.

Assist with data visualization, dashboards and other analytical initiatives that help translate prospect and fundraising data into actionable insights.

Support projects involving wealth screening, predictive modelling, prospect segmentation and other prospect-identification methodologies.

Contribute to data-quality initiatives and the effective maintenance and use of prospect information.

Summarize analytical findings clearly and concisely to support fundraising strategy and decision-making.

Work collaboratively with the Manager, Prospect Research, Director, Prospect Research & Strategy, Prospect Management Analyst and other team members on research, portfolio, pipeline and analytical projects.

Build effective working relationships with fundraising colleagues and develop an understanding of UHN Foundation’s fundraising priorities.

Participate in portfolio reviews, prospect strategy discussions and other activities supporting effective prospect and pipeline management.

Use approved artificial intelligence, automation and emerging technology tools where appropriate to support research and analysis.

Remain current with developments, tools and best practices in prospect research, philanthropy and fundraising analytics.

Manage multiple research and analytical assignments while meeting agreed-upon timelines and service expectations.

QUALIFICATIONS & EXPERIENCE

Master of Library and Information Science (MLIS/MI) or graduate education in a related research, information, analytics or data-focused discipline is preferred or 3+ years of relevant experience. An equivalent combination of education and relevant experience will be considered.

Experience conducting complex research and synthesizing information from multiple sources.

Experience in prospect research is preferred; candidates with relevant experience in data analysis, information services or another research-intensive environment will also be considered.

Strong analytical skills and demonstrated comfort working with quantitative information and datasets.

Strong Microsoft Excel skills and experience organizing, analyzing and interpreting data.

Experience with Power BI, Tableau or another business-intelligence/data-visualization platform is considered an asset.

Previous experience with Blackbaud Raiser's Edge NXT, particularly the web view, is considered an asset.

The ideal candidate will demonstrate an interest in, or aptitude for, analytics, predictive modelling and a willingness to develop these capabilities as part of the role.

WORK ENVIRONMENT

Fast-paced, service and results oriented environment

May have some activity outside of the office to support meetings

The Foundation has a hybrid work model. Staff will be required to be in office a minimum of 2 days per week and will be required to have a safe home office set up for the remainder of the working days (specifics to be planned with your manager).

Ability to work cooperatively with colleagues in all positions throughout the Foundation

Shared commitment and support of the overall Foundation goals

Alongside competitive salaries, we offer an extensive benefits package, flexible work arrangements, growth and development opportunities, defined benefits pension plan and birth parent/parental leave top-up.

University Health Network thanks all applicants; however, only those selected for an interview will be contacted. UHN has a diverse workforce and is an equal-opportunity employer.

Please note: All applicant screening and evaluation for this role are carried out manually by our recruitment team. We do not leverage AI in any part of the hiring process.