Job description
Referred applicants should not apply directly to this role.
All referred applicants must first be submitted through Workday by a current Loblaw Colleague.
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.
Please note: this posting is to pipeline for future needs
Why This Role is Important
The objective of our Payment Decision Support 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 deliver accurate, easy-to-use and timely data and reporting solutions to enable evidence-based decisions across the enterprise.
What You’ll Do
- Code using SQL, SAS, and Python, in SAS and Google Cloud platforms.
- Build and productionize business critical data processes
- Optimize and automate data solutions
- Build data marts and Tableau/Excel reports
- Follow and implement data standards, guidelines on data ownership, coding structures
- Monitor data quality and identify, investigate, and resolve data discrepancies
- Interact with partners at various levels to deliver data solutions, identify use-cases around data and data processes
- Closely adhere to legal guidelines regarding working with critical and confidential information
What You’ll Need
- 1-2 years of experience in a data analytics role, preferably in financial services/banking domain
- University degree in Business/Commerce, Computer Science/Engineering/Analytics
- Solid understanding of Python and Cloud technology. Experience with GCP (Google Cloud Platform) is a bonus.
- Understanding of data warehouse and data mart concepts
- Working knowledge of relational databases and SQL data extraction and manipulation tools
- Experience in SAS and BI tools.
- Ability to interpret sophisticated data flow and translate it into concise, easily understood solution plans to senior staff members
- Demonstration of problem solving using combination of technical know-how, soft skills and business understanding
- Experience in any of the following verticals is an asset: financial services/banking, credit cards/payments, ETL pipeline build, data mart creation, process automation.
- Ability to prioritize between challenging tasks/requirements in a fast-paced environment
Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefore encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.
PC Financial recognizes Canada’s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.
In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.
About PC Financial
CEO: Barry Columb
Revenue: Unknown / Non-Applicable
Size: 51 to 200 Employees
Type: Company - Private
Website: www.pcfinancial.ca
Year Founded: 1996