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Senior Analytics Engineer, Measurement Analytics & Transformation

Job in Toronto, Ontario, C6A, Canada
Listing for: Canadian Imperial Bank of Commerce
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering, Business Systems & Technology Analysis
Job Description & How to Apply Below
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  team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.
Responsibilities   Transform, model, test, and organize data for Personal Banking, Imperial Service, Business Banking, and other channels to provide trusted datasets.
Drive data modernization initiatives that enable outcome‑based, data‑driven decision‑making across frontline business functions.
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.
Automate and scale solutions that transform fragmented, manual reporting into governed, reusable data products and reporting solutions.
Collaborate closely with stakeholders to ensure data assets are accurate, well‑structured, and aligned to enterprise standards, enabling proactive, outcome‑based decision‑making.
Modernize data and reporting infrastructure – design, build and maintain 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 Power BI and Tableau.
Integrate AI‑enabled capabilities – identify opportunities to apply AI‑enabled capabilities such as automated narrative generation or natural‑language querying, creating 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 communicate 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.
Qualifications   5+ years of progressive experience in data engineering, analytics engineering, or a related field, ideally within financial services or another regulated, data‑intensive environment.
Proficiency in Databricks, Delta Lake, PySpark, Spark SQL, and medallion architecture; ability to develop scalable solutions that support both analytics and engineering outcomes.
Strong data modeling and analytics skills; applied dimensional modeling, slowly changing dimensions, data quality controls, reconciliation, and performance optimization erience supporting Power BI semantic models, datasets, DAX, and role‑based data access, with an understanding of how trusted data foundations enable strong reporting experiences.
Practical AI/ML literacy; know when to apply machine learning or deterministic logic and experience with LLMs and generative AI for business insights.
Strong communication and collaboration skills; translate business requirements into effective data solutions and communicate clearly with both technical and non‑technical partners.
Values of trust, teamwork, and accountability.
Benefits   Competitive salary and incentive pay.
Banking benefits, defined benefit pension plan, and employee share purchase plan.
Vacation offering and wellbeing support.
Moment Makers social, points‑based recognition program.
Purpose Day – a paid day off dedicated for growth and development.
Other benefits subject to plan and program terms and conditions.
CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and provide an accessible candidate experience. If you need accommodation, please contact Mailb

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Position Requirements
10+ Years work experience
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