What you'll be doing

As a Senior Analytics Engineer, Measurement Analytics & Transformation, you'll be a key member of the AI, Data & Analytics Office, reporting to the Director, Frontline Analytics & Insights - Measurement Analytics & Transformation.  You’ll support Personal Banking, Imperial Service, Business Banking and other channels by transforming, modelling, testing, and organizing data so analysts and business partners can rely on trusted datasets to make informed decisions.  You'll play a critical role in driving data modernization initiatives that enable outcome-based, data-driven decision-making across frontline business functions. You'll design and build scalable data pipelines, modernize backend data models, and deliver AI-driven capabilities that empower analysts and business partners to self-serve insights. Your focus will be on automating and scaling solutions that transform fragmented, manual reporting into governed, reusable data products and reporting solutions. You’ll collaborate closely with stakeholders to ensure data assets are accurate, well-structured, and aligned to enterprise standards, while helping enable more proactive, outcome-based decision-making across the business.

At CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 1-3 days per week on-site, while other days will be remote.

How you'll succeed

• Modernize data and reporting infrastructure – Design, build and maintains workflows that support frontline analytics, reporting, and performance measurement.

• Develop Scalable ETL/ELT Pipelines – Design, implement, and own transformation logic across Bronze, Silver, and Gold layers, ensuring data quality, reconciliation, and maintainability.

• Build Governed Data Models – Create reusable Gold-layer data models that support frontline analytics and self-serve reporting, applying dimensional modeling and performance optimization practices.

• Enable Self-Serve Reporting - Deliver self-serve analytics and reporting by designing dashboards, semantic models, datasets, and executive reporting solutions using tools such as Power BI and Tableau.

• Integrate AI-Enabled Capabilities – identify opportunities to apply AI-enabled capabilities, such as automated narrative generation or natural-language querying, where they create measurable value.

• Analytics & Story Telling with Data - Generate actionable business insights by monitoring sales, channel, and business performance, identifying trends and gaps, and translating findings into clear recommendations.

• Bridge Business and Engineering – Translate business needs into scalable technical and analytical solutions and communicating insights clearly to both technical and non-technical audiences.

• Cross-functional Collaboration - Partner across teams by collaborating with stakeholders in strategy, digital, distribution, analytics, and operations to ensure alignment with business priorities and successful delivery of solutions.

Who you are

• You bring strong data engineering / analytics engineering experience. You have 5+ years of progressive experience in data engineering, analytics engineering, or a related field, ideally within financial services or another regulated, data-intensive environment.

• You have experience with modern data platforms. You’re proficient in Databricks, Delta Lake, PySpark, Spark SQL, and medallion architecture, with the ability to develop scalable solutions that support both analytics and engineering outcomes.

• You’re highly skilled in data modeling and analytics. You apply dimensional modeling, slowly changing dimensions, data quality controls, reconciliation, and performance optimization at scale.

• You understand reporting and self-serve analytics. You have experience supporting Power BI semantic models, datasets, DAX, and role-based data access, with an understanding of how trusted data foundations enable strong reporting experiences.

• You have practical AI/ML literacy. You know when to apply machine learning or deterministic logic and have experience with LLMs and generative AI for business insights.

• You’re a strong communicator and collaborator. You can translate business requirements into effective data solutions, communicate clearly with both technical and non-technical partners, and help ensure data products are practical, usable, and aligned to decision-making needs.

• Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• 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.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

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