Senior Analytics Engineer, Enterprise Analytics & Advisory

CIBC • Toronto, ON

3d • Hybrid

About The Position

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. 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. You will provide day-to-day leadership to the team and business partners, support Google Cloud Platform (GCP) and other analytics solution development, and manage escalations and priorities. This role will also be responsible for the continuous optimization of processes to drive greater automation and effectiveness. At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

Requirements

• 5+ years of hands-on experience.
• Developed and supported analytics engineering, AI, and cloud-based analytics solutions.
• Strong experience with Google Cloud Platform (GCP), including BigQuery and Vertex AI, is highly preferred.
• Practical experience with analytics engineering, AI, big data, Databricks, Power BI, Alteryx, T-SQL, and Python.
• Strong presentation, interactive, and analytical skills that enable you to communicate both factual and conceptual information clearly.
• Business analysis and consulting abilities allow you to accurately understand and articulate business challenges and goals, supporting interpretation, analysis, assessment, and effective implementation.
• Motivated by achieving meaningful outcomes and consistently delivering your best work to make a positive impact.
• 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.
• Enjoy investigating complex problems and making sense of information, understanding internal banking processes and how they translate into data outputs.
• Bring your real self to work, and you live our values – trust, teamwork, and accountability.

Nice To Haves

• Strong experience with Google Cloud Platform (GCP), including BigQuery and Vertex AI

Responsibilities

• 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.
• Provide expert guidance and consultation to technology and business stakeholders to drive transformational change and maximize the impact of 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.
• 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.
• 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.
• Partner with Spoke Analytics teams, Enterprise Data Technology, Enterprise Architecture, and Information Security to foster secure analytics and AI consumption.
• Build strong relationships with internal and external partners, working collaboratively to understand their data and analytical needs.

Benefits

• competitive salary
• incentive pay
• banking benefits
• a benefits program
• defined benefit pension plan
• an employee share purchase plan
• a vacation offering
• wellbeing support
• MomentMakers, our social, points-based recognition program
• Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed