Data Analyst, Analytics & Insights

Posted 2 Days Ago
Toronto, ON, CAN
Hybrid
75K-90K Annually
Mid level
Healthtech • Biotech • Pharmaceutical
The Role
Analyze fundraising and supporter data to deliver reports, dashboards, and predictive models that optimize donor engagement and revenue. Clean and consolidate data from internal systems, surveys, and web analytics, run A/B tests, define KPIs, and present actionable recommendations to fundraising, marketing, and operations teams.
Summary Generated by Built In
Company Description

At The Princess Margaret Cancer Foundation (PMCF), our vision is to create a world free from the fear of cancer. Cancer remains the number one cause of death for Canadians and our top priority is to accelerate cancer research and care. 

Our role is to garner support for Princess Margaret Cancer Centre, one of the world’s leading cancer research and treatment centres, through philanthropy, fundraising events, and our world-renowned lottery program. The work we accomplish drives groundbreaking research, relentless innovation, and a deep commitment to improving the lives of cancer patients and their loved ones. 

Now, we have an opportunity to blaze an even brighter future for everyone affected by cancer.  

We will Carry The Fire for cancer patients everywhere, lighting the way forward through discovery, reigniting our commitment to transform cancer outcomes and ease the profound suffering cancer causes patients and their loved ones.   

At the PMCF, every one of us carries the fire for someone else. Join us as we inspire a movement and help us achieve our vision to change the way we understand, diagnose, and treat cancer. 

Job Description

Union: Non-Union
Department: Customer and Business Operations
Reports to: Director, Analytics and Insights
Hours: 35 hours
Salary Range: $75,000 - $90,000
Status: Temporary, Full-time (12-month contract)
Vacancy: New
Posted Date: June 29, 2026
Closing Date: July 12, 2026

We are seeking a Data Analyst who is passionate about utilizing data and analytics to help us deliver on our mission. We are looking for someone who will proactively drive improvements in performance across our businesses: campaign, major giving, estate giving, leadership giving, and prospect research. This role focuses on analyzing performance, creating reports, building predictive models, and delivering actionable insights that optimize our programs, deepen supporter engagement, and drive revenue.

This role is ideal for someone who enjoys solving problems, working with data, and turning analysis into clear, actionable insights that support real decisions in a mission-driven environment.

You will:

  • Act as a bridge between the business and analytics team, focusing on aligning data insights with business questions and goals.
  • Deliver regular performance reports with actionable recommendations to enhance supporter engagement, retention, acquisition, and lifetime value.
  • Strengthen strategic fundraising by supporting the optimization of portfolios, measuring success rates, and identifying opportunities and gaps.
  • Gather, clean, and analyze data from internal databases, surveys, and web analytics to uncover trends and actionable insights.
  • Build and maintain predictive models to identify and prioritize prospects, forecast goal attainment, and guide resource allocation.
  • Design, develop, and maintain dashboards and reports that are visually compelling, performant, and user-friendly.
  • Collaborate with cross-functional teams (fundraising, marketing, and operations) to measure program effectiveness, including conducting A/B testing and summarizing key learnings with recommendations.
  • Consolidate key business performance insights from prior years to guide future planning, partnering with relevant teams to gather and analyze data.
  • Help define and refine KPIs, benchmarks, and measurement frameworks for organizational programs.

Qualifications

  • A bachelor's or graduate degree in data science, mathematics, engineering, or related field – or equivalent experience.
  • 3+ years experience in data analysis, reporting, market research, or a similar field.
  • Proficiency in SQL and Python, with the ability to work with diverse datasets and apply analytic techniques (e.g., regression, clustering, time-series forecasting).
  • Experience building dashboards using Power BI (or equivalent tool) and creating calculated fields and measures using DAX.
  • Proven success in translating data insights into strategic recommendations that drive business outcomes.
  • Strong documentation skills, with the ability to clearly capture business processes and code logic to support collaboration and future maintenance.
  • Strong organizational, communication, and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
  • A proactive, detail-oriented, and problem-solving mindset with a collaborative, team-first approach.

Additional Information

We believe that the way we work together is just as important as what we accomplish. By making choices and taking actions that align with our values, we achieve greater success, and our work lives become happier and more meaningful.

At The PMCF, we strive to foster a culture built on Collaboration, Accountability, Respect, and Excellence (CARE). Central to these values is our commitment to IDEAA: Inclusion, Diversity, Equity, Accessibility, and Anti-Racism.

What you can expect from working at The PMCF: 

  • A sense of purpose that you won’t get anywhere else. You will be making a difference for millions of people impacted by cancer
  • An open-minded and friendly culture that encourages you to bring your best ideas forward
  • A hybrid work environment that fosters collaboration and teamwork. Our in-office days are Tuesday, Thursday, and one other day per week in office, or as required subject to business needs

UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity and welcome all applicants including but not limited to: all religions and ethnicities, LGBTQIA2S+, BIPOC, persons with disabilities and all others who may contribute to the further diversification of ideas. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the Bona-fide requirements for the open position. Applicants need to make their requirements known when contacted.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates.  Please ensure you check your email regularly. At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this position.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

Skills Required

  • Bachelor's or graduate degree in data science, mathematics, engineering, or related field, or equivalent experience
  • 3+ years experience in data analysis, reporting, market research, or similar field
  • Proficiency in SQL
  • Proficiency in Python
  • Experience building dashboards using Power BI or equivalent
  • Experience creating calculated fields and measures using DAX
  • Experience with analytic techniques (regression, clustering, time-series forecasting)
  • Strong documentation skills to capture business processes and code logic
  • Strong organizational, communication, and presentation skills for non-technical stakeholders
  • Proactive, detail-oriented, problem-solving mindset and collaborative team approach
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The Company
HQ: Toronto
24,490 Employees
Year Founded: 1986

What We Do

University Health Network is Canada's largest research hospital and a public research and teaching hospital network in Toronto, Ontario, known for its scope of research and complexity of cases.

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