Senior Analytics Engineer

Securian Canada

. Develop and maintain curated analytical datasets, data marts, semantic models, and reusable data products .

Posted 9/25/2026full-timeMontreal • CanadaSenior💰 CA$100,000 - CA$130,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTypeScript

About the role

Key responsibilities & impact

Develop and maintain curated analytical datasets, data marts, semantic models, and reusable data products
Transform organizational data into reliable, scalable assets that are ready to support business needs
Design analytical models that balance performance, usability, and sustainability
Create reusable business logic and data transformations
Develop semantic models, certified metrics, KPIs, and shared business logic
Collaborate with business partners and analytics stakeholders to translate complex requirements into reliable technical solutions
Support self-service analytics capabilities
Ensure analytical assets are fully documented, traceable, and understandable
Implement automated mechanisms for data testing, validation, reconciliation, and quality control
Lead technical design reviews and contribute to analytics engineering best practices
Apply version control, code review, deployment automation, and continuous improvement
Collaborate with data governance teams on data ownership, traceability, controls, and lineage
Develop analytical foundations that support advanced analytics, machine learning, and artificial intelligence
Collaborate with data pipeline engineering, business intelligence, and analytics teams
Modernize the organization’s analytics capabilities
Serve as a trusted technical advisor
Provide mentorship and guidance on analytical modeling, data transformations, and data products
Build partnerships that foster collaboration, knowledge sharing, and innovation
Demonstrate autonomy, accountability, and leadership in delivering high-quality solutions

Requirements

What you’ll need

University degree in computer science, data engineering, analytics, engineering, or a related field, or an equivalent combination of education and experience
At least 8 years of experience in analytics engineering, data engineering, BI engineering, or modern cloud data environments
Advanced expertise in SQL
Significant experience developing production-grade ELT pipelines, dimensional models, and reusable analytics products
Experience with modern cloud data warehousing, lakehouse, or analytics engineering platforms
Excellent understanding of semantic modeling, governed metrics, KPI frameworks, and enterprise analytics architectures
Experience supporting AI, generative AI (GenAI), machine learning, or advanced analytics initiatives
Proficiency in modern software development practices, including automated testing, data quality management, code review, deployment, and version control
Excellent analytical and problem-solving skills
Experience with Python, modern business intelligence platforms, and highly regulated industries is an asset
Product-oriented mindset and a passion for designing reusable solutions
Excellent communication skills and the ability to effectively influence technical and non-technical stakeholders

Benefits

Comp & perks

Flexible work arrangements with monthly financial allowances to support your work-life balance
A generous starting allotment of paid time off, plus additional days off for each year of service
One paid volunteer day
Paid personal and personal wellness days
Educational assistance of up to $3,500 per year
Flexible health and wellness spending account
Comprehensive prescription drug and dental coverage
Up to 14% in combined contributions to the RRSP matching plan
Maternity/parental leave
Even more benefits and programs
Agile, innovative, and results-oriented culture
Commitment to diversity, equity, and inclusion