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
🏢 Sun Life
📍 London