Join CIBC as a Senior Analytics Engineer and contribute to transformative data initiatives in Toronto. Shape the future of analytics while embracing a flexible hybrid work arrangement.
The successful candidate will join the AI, Data & Analytics Office, collaborating with various teams to enhance the accuracy of data assets. Your role will focus on building scalable data pipelines and empowering analysts to self-serve insights, fostering a data-driven culture across banking channels.
Solid data modeling and automation skills are essential in this impactful position.
Key Responsibilities:
- Transform data reporting infrastructure for frontline analytics
- Design and implement maintained ETL/ELT pipelines
- Build governed data models for analytics
- Deliver self-service reporting using Tableau
- Collaborate cross-functionally on data solutions
Requirements:
- 5+ years in analytics engineering or data engineering
- Skilled in Spark SQL and medallion architecture
- Experience with DAX and Power BI solutions
- Practical AI knowledge including generative AI
- Excellent communicator with strong teamwork abilities
Drive innovation and shape outcomes with CIBC's analytics engineering team.
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📌 CIBC Analytics Engineer Role (Toronto)
🏢 CIBC
📍 Toronto
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