Data analyst Offres d'emploi - Toronto, ON

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 business opportunities.
• Interact with partners at various levels to perform data analysis and advanced analytics use-cases centered in Marketing Analytics.
• Create business critical end-to-end reporting and data processes: Perform ad-hoc analysis based on heterogeneous data sources to support business teams.
• Closely adhere to legal guidelines regarding working with sensitive and confidential information

What you bring

• 1-2 years’ experience in a similar role, preferably in financial services/banking domain
• Working knowledge of relational databases and SQL data extraction and manipulation tools
• Be curious to understand the business model and customer journey to extract insights.
• Proactive approach to identifying opportunities and challenges in data-driven projects
• Understanding of data warehouse, data mart concepts
• Hands on with Python and SAS. Modeling experience is a bonus.
• Experience with BI tools and Cloud technology, such as Tableau and Google Cloud Platform.
• University degree in Computer Science/Engineering/Analytics/Mathematics/Statistics
• Be curious to understand business problems.
• Passionate about telling a story through data.
• Sound communication skills, ability to work independently and in a team
• Proactive in seeking feedback, refining solutions, and anticipating challenges
• Demonstration of problem-solving using combination of technical know-how, soft skills, and business acumen
• Strong analytical and conceptual problem solver who can learn quickly
• Able to plan and organize effectively
• Experience in any of the following domains would be considered an asset: financial services/banking, credit cards/payments, credit risk
• Experience working in AML or Marketing campaigns is a bonus