Shape scalable cloud analytics products with SQL, ELT pipelines, and semantic modeling at Securian Canada. Work from Toronto, Waterloo, or Montreal.

As a Senior Analytics Engineer, you will modernize enterprise analytics through reusable data products and governed technical solutions. You will design analytical models, production-grade transformations, and business-ready assets for reporting and self-service analytics. Collaboration spans Data Pipeline Engineering, Business Intelligence, Data Governance, Analytics & Insights, and business partners.

Key Responsibilities:

- Design analytical models balancing performance, usability, and scalability
- Develop governed data products supporting self-service analytics
- Document analytical assets for technical and business audiences
- Apply version control, code review,



deployment automation, and testing
- Lead technical design reviews and analytics engineering practices

Requirements:

- Eight or more years in analytics, data, or BI engineering
- Advanced SQL with dimensional modeling and ELT experience
- Up-to-date cloud data warehouse, lakehouse, or platform experience
- Proficiency in software development and data quality practices
- Ability to translate business requirements into scalable solutions

Bring cloud data engineering, SQL, semantic modeling, and software development expertise to Securian Canada’s analytics modernization.

📌 Cloud Analytics Data Product Engineer (London)
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