Senior Data Analyst - Activations, Next… at President's… · Toronto

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.

As a Senior Data Analyst on the Activation, Next Best Action team, you will be instrumental in leveraging data, advanced analytics, and modeling to drive critical business outcomes. You will provide key insights that drive Next Best Action strategies across the customer lifecycle, helping optimize onboarding, activation, engagement, and long-term customer growth for banking products. You will leverage data to personalize customer journeys, improve channel performance and profitability, and support effective credit risk management for our credit card portfolio. This role requires a blend of technical expertise, strategic thinking, and strong communication skills to translate complex data into actionable recommendations across various functional teams.

What You will do:

• Leverage diverse datasets to generate actionable insights that support Next Best Action (NBA) strategies, optimize onboarding and activation journeys, and drive business growth.
• Develop, monitor, and refine NBA strategies across various channels, utilizing advanced analytics, modeling, and statistical testing (e.g., A/B, multi-variate) to optimize profit.
• Conduct in-depth analyses of onboarding campaigns, and customer journeys, identifying opportunities for revenue growth and cost reduction.
• Design, develop, and present comprehensive reporting (daily, weekly, monthly, quarterly) and automated dashboards (e.g., Tableau, Looker) to monitor key performance indicators and track financial/operational controls.
• Collaborate cross-functionally with marketing, product, sales, and media teams to define analytical requirements, implement end-to-end campaign tracking, and deliver customer-focused solutions.
• Continuously improve and automate data extraction, analysis, and reporting processes to enhance efficiency and accuracy.
• Translate complex analytical findings into clear, concise, and compelling narratives for both technical and non-technical stakeholders, fostering data-driven decision-making.

What You bring:

• Minimum of 3-5 years of progressive experience in data analysis, sales and marketing analytics, financial modeling, or data mining, with a strong focus on extracting actionable insights from large datasets.

• Experience in digital banking, marketing, or credit risk is a significant asset.

• Post-Secondary education or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science/Engineering, Operations Research, Economics, or Business Administration, coupled with a solid understanding of data analytics principles.

• Expert in SQL for querying large, complex datasets (BigQuery Standard SQL is a plus).

• Demonstrated experience with statistical software (e.g., SAS, R, Python) and/or programming/scripting languages.

• Hands-on experience building and deploying machine learning models for customer segmentation, propensity modeling, and personalization.

• Hands-on experience with digital analytics platforms (e.g., Google Analytics, Adobe Analytics) and media platforms (e.g., Google Marketing Platforms, Facebook)

• Proficiency in developing reports and interactive dashboards using BI tools (e.g., Tableau, Looker).

• Strong understanding of database structures and schemas.

• Advanced MS Office skills (Excel, PowerPoint).

Analytical & Strategic Acumen:

• Exceptional analytical, problem-solving, and critical thinking skills with the ability to synthesize complex information into clear, actionable recommendations.
• Solid understanding of digital marketing and eCommerce best practices.

Communication & Collaboration:

• Proven ability to communicate complex analytical findings and strategic insights effectively, both verbally and in written presentations, to diverse technical and non-technical audiences.
• Strong organizational skills and attention to detail, ensuring accuracy and quality in all deliverables.

Execution & Adaptability:

• Ability to manage multiple complex projects, prioritize effectively, and deliver high-quality results in a dynamic, fast-paced environment.
• Demonstrated personal accountability and a results-oriented approach.

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.

Hiring Range / Échelle salariale à l’embauche :

$75,000.00 - $95,000.00 / 75.000,00$ - 95.000,00$ (per year / par an)

A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste vacant existant. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.

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