Data Scientist, Acquisition Strategy

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 Lakeshore Blvd. 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 This Role Is Important

As a pivotal role within our organization, you will harness the power of data to identify and optimize acquisition strategies, ensuring our bank attracts high-quality customers while improving profitability. With your analytical expertise and collaborative approach working with a highly motivated team, you can help us unlock hidden insights, develop predictive models, and drive data-driven decision-making across various channels. By effectively using data, you will enable the bank to make informed decisions, improve customer experiences, and unlock substantial value, propelling us ahead in an ever-evolving industry.

What You'll Do

• Use structured and unstructured rich data sources (including but not limited to internal customer data, competitive intelligence, industry benchmarks, voice of the customer, and web analytics) to produce customer/prospect experience metrics and insights, including awareness, engagement and customer loyalty, across all channels.
• Measure the effectiveness of the customer journey, by using path analysis, channel attribution and media mix modeling, providing specific recommendations to increase revenue or reduce costs.
• Develop and monitor acquisition strategies for prospects from face to face and digital channels. Use advanced analytics and modeling/machine learning to understand how the behaviour of customers and prospects, their interactions and touchpoints, contribute to their overall customer experience to inform the overall acquisition strategy.
• Collaborate with product and sales teams to develop a detailed understanding of business objectives to deliver customer-focused insights, analytics solutions and customer acquisition strategies.
• Conduct multi-variate testing and A/B testing to measure effectiveness of strategies and refine them as needed.
• Through statistical analysis (e.g. Linear and Logistic regression, Gradient Boosting, Random Forest, etc.), understand and measure the changing needs of the target customer to influence the customer experience.
• Translate customer data into cross-channel customer insights, and competitive intelligence reports, which will form a strategy to meet customer needs and improve customer acquisition, growth and retention.
• Present business analysis results and recommendations to key partners.

What You'll Bring

• Strong MS Office (Excel, Access, PowerPoint) skills.
• Results oriented with a proven ability to be involved in multiple projects/initiatives of varying size and complexity, while prioritizing and balancing several tasks within a fast-paced work environment.
• Minimum of 3 years progressive experience analyzing structured and unstructured data, developing and executing on strategies and making strategic recommendations to management.
• Ability to distill and communicate complex analytic recommendations to both technical and non-technical partners, both orally and in written presentations.
• Excellent analytical, storytelling, and problem-solving skills.
• Experience with SQL, Adobe Analytics and Google Analytics is an asset.
• Experience in working with statistical software applications (e.g. SAS, R, or Python)
• Post-Secondary education or equivalent experience in a quantitative field preferred (Statistics, Mathematics, Computer Engineering/Science, or Operations Research)
• Proven track record of developing and implementing data models and solutions that drive value to organizations

Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor 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.

Number Of Openings

1

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.

Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.