Data Analyst, Analytics & Insights

About the Organization

The Princess Margaret Cancer Foundation is driven by a mission to help create a future without fear of cancer. The organization supports Princess Margaret Cancer Centre, a globally recognized centre for cancer research and treatment, through philanthropy, fundraising events, and its lottery program. Its work helps advance research, foster innovation, and improve outcomes for patients and their families.

The Foundation is looking for a data-focused professional who can turn analytics into practical decisions that strengthen performance across campaign, major giving, estate giving, leadership giving, and prospect research. The position is centered on reporting, analysis, predictive modeling, and insight generation to improve programs, deepen supporter relationships, and increase revenue.

Role Overview

This is a temporary, full-time contract role for 12 months, working 35 hours per week. The position sits in the Customer and Business Operations department and reports to the Director, Analytics and Insights. It is classified as non-union.

The successful candidate will work across teams to connect business questions with data, identify trends, build reports and dashboards, and support better decision-making in a mission-led environment.

Key Responsibilities

• Serve as the link between business stakeholders and the analytics function, ensuring data work is aligned with organizational priorities.
• Produce recurring performance reports with recommendations aimed at improving engagement, retention, acquisition, and lifetime supporter value.
• Support fundraising strategy by helping optimize portfolios, evaluating success rates, and uncovering opportunities and gaps.
• Collect, prepare, and examine data from internal systems, surveys, and web analytics to identify patterns and insights.
• Create and maintain predictive models that help rank prospects, estimate goal achievement, and support resource planning.
• Develop dashboards and reports that are easy to use, visually clear, and efficient.
• Work with fundraising, marketing, and operations teams to assess program impact, including A/B testing and summarizing findings with recommendations.
• Bring together historical business performance information to support future planning and analysis.
• Help establish and improve KPIs, benchmarks, and measurement methods for organizational programs.

Required Qualifications

• Bachelor’s or graduate-level education in data science, mathematics, engineering, or a related discipline, or equivalent practical experience.
• At least 3 years of experience in data analysis, reporting, market research, or a similar area.
• Strong SQL and Python skills, with experience handling varied datasets and applying methods such as regression, clustering, and time-series forecasting.
• Experience building dashboards in Power BI or a similar platform, including use of DAX for calculated fields and measures.
• Demonstrated ability to translate analytical findings into strategic recommendations that improve business results.
• Excellent documentation abilities, with the capacity to clearly record business processes and code logic for teamwork and future upkeep.
• Strong organizational, communication, and presentation skills, including the ability to explain technical ideas to non-technical audiences.
• A proactive, detail-conscious, and solution-oriented mindset with a collaborative, team-first style.

Additional Information

The organization values a workplace culture rooted in Collaboration, Accountability, Respect, and Excellence (CARE). It also emphasizes Inclusion, Diversity, Equity, Accessibility, and Anti-Racism (IDEAA).

Employees can expect meaningful work with a strong sense of purpose, a friendly and open-minded environment, and a hybrid arrangement that supports teamwork. The in-office schedule is Tuesday, Thursday, and one additional day each week, or as needed based on business requirements.

Application Notes

Applications must be submitted before the closing date. Email is used to contact shortlisted candidates, so applicants should monitor their inbox regularly. Artificial intelligence tools may be used to assist with screening, assessment, and selection.

A criminal record check may be required for the successful candidate. If any candidate information is found to be misleading, inaccurate, or incorrect, the employer may discontinue consideration. Accommodation requests can be made at any stage of the recruitment process once bona fide requirements for the role are met.

The employer is committed to accessible, diverse, and inclusive hiring. Candidates from all backgrounds, including but not limited to all religions, ethnicities, LGBTQIA2S+, BIPOC, persons with disabilities, and others who contribute to broader diversity, are encouraged to apply.

Only candidates selected for further consideration will be contacted.