Data Analyst

Company: PC Financial

Location: Toronto, ON M5V 2V9

Type: Full-time

Posted: 2026-04-03

About this role

Referred applicants should not apply directly to this role.

All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

Location:

500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

When you hire great people, great things can happen.

PC Financial offers unprecedented value to Canadians through payment products. We’re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

Why is this role important

The objective of our Payment Decision Support, Customer Insights team is to provide reporting and analytics services to allow PC Financial to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will be responsible for providing accurate, timely and actionable insights and reporting solutions to enable evidence-based decisions for the Marketing, Contact Center and AML teams.

What you’ll do

  • Be hands-on coding - extracting, preparing, and analyzing large data sets
  • Provide Data Analysis for Contact center, Marketing Campaigns or Anti-Money Laundering teams
  • Familiarity with modern data platforms and tools, and the ability to quickly adapt to emerging technologies such as GCP and Python.
  • Work with partners across the organization to provide data support on business initiatives
  • Apply advanced analytics and build models to understand our customers and discover...

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