Senior Analyst, Data

PC Financial • Toronto, ON

28d • Onsite

About The Position

PC Financial offers unprecedented value to Canadians through payment products, operating as a collaborative and supportive bank that empowers its team. The company's purpose is to simplify and enhance daily life for its over 3 million customers, striving to maximize the value of every dollar. As a subsidiary of Loblaws Company Inc., PC Financial upholds CORE values: Care, Ownership, Respect, and Excellence, dedicated to helping Canadians Live Life Well. This role, reporting to the Senior Director of Analytics (PDS), is central to the organization's data modernization and automation initiatives. It involves designing and building data products, contributing to data governance, and collaborating with technology and business partners. The company is committed to transforming the everyday banking experience and seeks entrepreneurial spirits to drive this vision, offering a fast-paced environment where colleagues are empowered to envision, conceptualize, and collaborate.

Requirements

• 3+ years of progressive experience in data and analytics with demonstrated experience and solid technical background in data projects, preferably in a financial service/banking setting.
• University degree (undergraduate) in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or Analytics.
• Domain expertise in data solutions with intermediate to advanced knowledge in one or more areas: AI-powered data products, business intelligence/reporting, data warehouse/data mart design, data strategy and transformation.
• Experience with solution design and data architecture required.
• Strong technical foundation including proficiency with: Python, Google BigQuery, Apache Spark, SQL and relational databases, ETL technologies, Tableau, UML, data governance tools, metadata management platforms, and automation frameworks.
• Understanding of data science and advanced analytics concepts.
• Experience in process automation, workflow optimization, or automated reporting to solve business problems.
• Excellent professional skills including ability to communicate complex problems verbally, in writing, or via presentations; project management know-how with leadership and business acumen; highly organized with excellent time management skills.
• Strong interpersonal and collaboration abilities to work effectively with multiple stakeholders, garner consensus, and build productive relationships across technical and business teams.

Nice To Haves

• Experience with AI/ML applications including Generative AI and LLMs is highly desirable.

Responsibilities

• Design and build automated data products — Develop automated and ad-hoc solutions that enable business units (including Finance, Collections and Compliance) efficiently access and analyze complex datasets. Utilize AI and other emerging technologies to enhance user experience and capabilities.
• Support data modernization strategy and roadmap execution — Support the execution of the data modernization and automation roadmap by contributing to solution development, documenting processes, and providing analytical insights to inform risk management and business operations.
• Support regulatory initiatives across the organization — Work closely with Governance, Process Effectiveness and Technology teams to develop and maintain regulatory monitoring frameworks.
• Collaborate with the broader data team — Collaborate with data scientists and junior analysts to apply data engineering best practices and emerging technologies to solve analytical and operational problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 251-500 employees