We’re building a relationship-oriented bank for the modern world. As a Senior Analytics Engineer, you will be a key member of the Enterprise Analytics and Advisory team, working with business partners and stakeholders from various Strategic Business Units (SBUs) and Functional Groups (FGs) to provide expertise in analytics, secured data access, and visualizations in support of strategic projects. Details on your work arrangement (proportion of in office and remote work) will be discussed at the time of your interview.

Transformational

Delivery – Lead the design, development, and implementation of enterprise analytics solutions on Google Cloud Platform (GCP), leveraging tools such as BigQuery, Vertex AI, and Agentic AI environments. Deliver comprehensive analytics solutions that support both project and business partners, ensuring alignment with organizational goals.

Support

Data and Analytics Initiatives – Design and build end-to-end analytics and AI solutions including data modeling, orchestration and pipeline services, data visualization, and ML models utilizing various tools and cloud technologies (Power BI, Databricks, Alteryx, Azure, and GCP). Consult and upskill wider data teams and stakeholders on tools within the semantic layer to promote self-service.

Continuous

Improvement – Identify opportunities to automate and streamline processes, driving efficiency in data reporting and analytical environments, reducing manual intervention, and increasing end‑user effectiveness. Represent the Enterprise Analytics Hub and consult on a wide range of enterprise initiatives related to analytics and AI, ensuring recommendations are effective, efficient, and aligned with long‑term business objectives. Leadership – Provide leadership in designing data enablement rollout strategies by liaising with various lines of business, analytical groups, technology, and change management.





Lead and partner with cross‑functional groups to foster a BI/analytics research and innovation culture. Analytics/AI Enablement Strategy – Partner with Spoke Analytics teams, Enterprise Data Technology, Enterprise Architecture, and Information Security to foster secure analytics and AI consumption.

Relationship

Management – Build strong relationships with internal and external partners, working collaboratively to understand their data and analytical needs. You have developed and supported analytics engineering, AI, and cloud‑based analytics solutions. You also have practical experience with Databricks, Power BI, T‑SQL, and Python.

Your business analysis and consulting abilities allow you to accurately understand and articulate business challenges and goals, supporting interpretation, analysis, assessment, and effective implementation. You thrive as an innovator, creator, collaborator, and leader, embracing the challenge of building the bank of the future and developing solutions that support our clients’ evolving needs. You give meaning to data.

You enjoy investigating complex problems and making sense of information, understanding internal banking processes and how they translate into data outputs. We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points‑based recognition program. You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

We may ask you to complete an attribute‑based assessment and other skills test (such as simulation, coding, French proficiency). We use artificial intelligence tools during the recruitment process. Agentic AI, AI Enablement, Gemini for Google Cloud, Google Gemini Code Assist, Microsoft Azure Databricks, Microsoft Dynamics 365 Power Business Intelligence (BI), PL/SQL (Programming Language), Python (Programming Language), Transact-SQL #

📌 Senior Analytics Engineer, Enterprise Analytics & Advisory (Toronto)
🏢 CIBC
📍 Toronto