Location Details: Head Quarters
PostalCode: H7X 4G8
Category: Corporate
Requisition Number: 18715-LOY-09-05-2025
Date Opened: September 5, 2025
Number of Openings: 1
Job Type: Permanent
Pay Class: Full Time
Education: Bachelor’s Degree
Career Level: Experienced
Who We Are:

EDUCATION

• Bachelors degree with a focus in statistics, computer science, or mathematics or related quantitative field

EXPERIENCE

• 2-5 years experience as an analyst (analysis, data extraction/manipulation, insights)
• Loyalty program / customer insights experience an asset
• Retail experience an asset

SKILLS TECHNICAL:

• Experience with statistical and data manipulation language (strong SQL required)
• Experience working with and analyzing large data sets to deliver actionable business insights
• Proficiency with Microsoft Office Suite required, including advanced Excel functions
• Experience translating data and insights into a simple and visualized story/presentation (Google data studio, slides, powerpoint)

• Extract, manipulate & interpret data from our data warehouse and various systems (Oracle database, SQL server, Salesforce marketing cloud, Other Cloud Platforms, Google Analytics, Loyalty Platform, …) using mainly SQL language
• Ideate, plan, execute, analyze & present (storytelling) insights from customer level analytics to our internal stakeholders: acquisition, customer lifecycle, retention/ churn analysis, cohort analysis, customer journeys, segmentation / clusters, geographical analysis, store / online shopper, etc…
• Support with reporting and dashboard creation to automate, track and visualize metrics and results
• Support with additional business analytics and insights including loyalty program performance, digital performance, consumer survey results, etc …
• Ongoing QA & validation of the data being used in reports and analyses (with source systems), as well as the insights being derived to ensure accuracy and reliability
• Participate in the ongoing maintenance and improvement of the data warehouse, including data cleansing and ensuring data accuracy (collaborate with IT/3rd party when necessary)
• Provide support on special projects and analytics as neede