Data Analyst, Research & Analytics
at
The Princess Margaret Cancer Foundation
Data Analyst, Research & Analytics
Company
The Princess Margaret Cancer Foundation
Location
Toronto, Ontario, Canada
Date Posted
January 6, 2025
**Job Posting: Data Analyst**
**Location:** 700 University Avenue
**Union:** Non-Union
**Department:** Customer and Business Operations
**Reports to:** Director, Business Intelligence
**Hours:** 35 hours per week
**Status:** Permanent, Full Time
**Wage Range:** $63,008 - $78,000
**Posted Date:** January 6, 2025
**Closing Date:** January 19, 2025
**About Us:**
At The Princess Margaret Cancer Centre, our vision is to Conquer Cancer In Our Lifetime. We are one of the world’s leading cancer research centers, renowned for our groundbreaking discoveries and exceptional patient care. The Princess Margaret Cancer Foundation (PMCF) is dedicated to supporting this vital work, transforming the cancer experience, and offering hope to patients both in Canada and globally.
**Position Overview:**
We are seeking a Data Analyst who is passionate about utilizing data and analytics to help us deliver on our mission. In this role, you will proactively drive improvements in performance across our businesses: events, philanthropy, lottery, and marketing. You will be responsible for collecting, analyzing, and reporting on the various events and programs we run at PMCF, leveraging your analytical skills to optimize our programs, deepen supporter engagement, and drive revenue.
**Key Responsibilities:**
- Act as a bridge between the business and analytics team, aligning data insights with business questions and goals.
- Deliver regular performance reports with actionable recommendations to enhance supporter engagement, retention, acquisition, and lifetime value.
- Collaborate with cross-functional teams to measure program effectiveness, conduct A/B testing, and summarize key learnings with recommendations.
- Consolidate key business performance insights to guide future planning, partnering with relevant teams to gather and analyze data.
- Gather, clean, and analyze data from internal databases, surveys, and web analytics to uncover trends and actionable insights.
- Create and present clear, engaging reports, dashboards, and visualizations to inform decision-making.
- Help define and refine KPIs, benchmarks, and measurement frameworks for organizational programs.
**Qualifications:**
- Bachelor's or graduate degree in data science, mathematics, engineering, or a related field, or equivalent experience.
- 2+ years of experience in data analysis, reporting, market research, or a similar field.
- Prior experience in fundraising and/or philanthropy is an asset.
- Proficiency in SQL and Python, with the ability to work with diverse datasets and apply analytic techniques.
- Familiarity with Power BI or other data visualization tools considered an asset.
- Proven success in translating data insights into strategic recommendations that drive business outcomes.
- 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 approach.
**Additional Information:**
We believe in fostering 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. We offer a competitive compensation package, including salary, incentive pay, health benefits, and a pension plan. We have an open and approachable culture and will invest in your growth through ongoing learning opportunities and development planning.
We offer a hybrid work environment and are committed to championing accessibility, diversity, and equal opportunity. We welcome all applicants, including but not limited to individuals from diverse backgrounds and experiences. Requests for accommodation can be made at any stage of the recruitment process.
**Application:**
All applications must be submitted before the closing date.