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UHN Foundation

Prospect Research Analyst

Toronto, ON, Canada

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

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Job details

Pay: SALARY RANGE: $84,500 - $89,000 per annum
Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

VACANCY: Prospect Research Analyst

REPORTS TO: Manager, Development Research

LOCATION: Toronto, Ontario (hybrid working model)

STATUS: Fulltime Permanent Employment

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.

Collaboration & Continuous Improvement

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.

Deadline to Apply: November 20th, 2026

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More about this job

Responsibilities

Research and qualify prospective and existing donors, prepare profiles and briefings, and conduct relationship mapping and due diligence to support fundraising priorities. Analyze prospect and fundraising data, contribute to segmentation, dashboards, and pipeline initiatives, and collaborate with fundraising teams to inform strategy and decision-making.

Requirements

A graduate degree in library and information science or a related research, information, analytics, or data-focused discipline is preferred, or candidates may qualify with three or more years of relevant experience; equivalent combinations are considered. Candidates should have complex research and synthesis experience, strong analytical and Excel skills, and comfort working with datasets; prospect research experience is preferred, while business-intelligence tools and Blackbaud Raiser's Edge NXT are assets.

Skills

Prospect Research
Information Research
Data Analysis
Microsoft Excel
Prospect Identification
Research Synthesis
Quantitative Analysis
Data Visualization
Relationship Mapping
Due Diligence
Fundraising Analytics
Predictive Modeling
Portfolio Analysis
Data Quality
Confidentiality and Ethical Research
Artificial Intelligence and Automation Tools

Benefits

Extensive Benefits Package
Flexible Work Arrangements
Growth and Development Opportunities
Defined Benefits Pension Plan
Birth Parent and Parental Leave Top-Up

Visa sponsorship

Not detected in the job text

Keywords

Prospect Research
Fundraising
Donor Research
Prospect Identification
Prospect Profiles
Research Briefings
Philanthropy
Wealth Indicators
Relationship Mapping
Due Diligence
Reputational Research
Fundraising Data
Microsoft Excel
Data Analysis
Data Visualization
Dashboards
Power BI
Tableau
Blackbaud Raiser's Edge NXT
Wealth Screening
Predictive Modeling
Prospect Segmentation
Portfolio Management
Pipeline Development
Data Quality
Artificial Intelligence
Automation
Privacy and Confidentiality
Research Ethics

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