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Added 10 mins ago
Manager, Client Engagement - Wayfinding
BrandActive
Toronto, ON
$100,000 to $150,000 CAD / year
Full-time
Own the day-to-day client relationship and serve as a trusted strategic advisor throughout the engagement.
Added 12 mins ago
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Securian Canada

Senior Analytics Engineer

Toronto, ON, Canada

Pay: $100,000 to $130,000 CAD / year
Job type: Full-time
Apply by: Mar 24, 2027
Experience: 8+ years of experience in analytics engineering, data engineering, BI engineering, or modern cloud data environments.
Posting language: English
Posted: Sep 25, 2026

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Original job description

Department: Technology

Location: Toronto, ON

Compensation: CA$100,000 - CA$130,000 / year

Description

What we do every day to be our very best

Every day at Securian Canada means a day spent helping Canadians and their families build secure tomorrows. We’re agile and innovative, and we aren't afraid to challenge and create, or bring diverse perspectives to our work.

Who We Need

As a Senior Analytics Engineer, you'll play a key role in building the trusted analytics foundation that helps shape strategic decisions across Securian Canada. Your work will influence how teams understand customers, products, and business performance, while helping modernize the future of analytics across the organization.

As part of the Analytics & Insights team, you'll design and build reusable data products that make it easier for people across the organization to access consistent, reliable insights. From curated datasets and data marts to semantic models, certified metrics, and shared business logic, you'll help turn complex data into meaningful information that supports smarter decisions.

Working closely with Analytics & Insights, Business Intelligence, Data Pipeline Engineering, Data Governance, and business partners across the organization, you'll contribute to a scalable analytics ecosystem that empowers teams with trusted data and a shared understanding of performance, customers, products, and markets.

This role is ideal for someone who enjoys combining hands-on technical expertise with big-picture thinking. Using your strengths in SQL, data modeling, and modern data transformation practices, you'll help move the organization beyond one-time reporting requests toward sustainable, reusable data solutions. Your contributions will improve consistency, reduce manual effort, and create new opportunities for advanced analytics, business intelligence, and AI-driven innovation.

At Securian Canada, data is more than reporting. It helps us make better decisions that support our mission of helping Canadians and their families build secure tomorrows. You'll work alongside talented colleagues who care deeply about solving meaningful problems and helping Canadians build secure tomorrows, while creating data solutions that make a real impact across our business.

The base salary range for this position is between $100,000 to $130,000 depending on experience. Details of our additional benefits are outlined below. This job posting is for an existing vacancy. Only one position is available. However, it may be based in multiple locations: Toronto (ON), or Waterloo (ON), or Montreal (QC).

What You Will Do

Design Trusted Data Products

Build and maintain curated analytical datasets, data marts, semantic models, and reusable data products that power enterprise reporting and analytics.
Transform enterprise data into trusted, scalable, and business-ready assets that help teams make informed decisions.
Design analytical models that balance performance, usability, and long-term scalability.
Create reusable business logic and data transformations that reduce redundancy and improve consistency across the organization.
Develop analytical solutions that support diverse business needs while maintaining enterprise standards.

Enable Consistent Insights Across the Business

Develop semantic models, certified metrics, KPIs, and shared business logic that create a single source of truth.
Partner with business and analytics stakeholders to translate complex requirements into reliable technical solutions.
Help establish a trusted analytics layer that drives confidence in reporting, dashboards, and decision-making.
Support self-service analytics by delivering intuitive and governed data products that empower users to explore data with confidence.
Ensure analytical assets are well-documented, traceable, and easily understood by technical and business audiences.

Drive Engineering Excellence

Implement automated testing, validation, reconciliation, and data quality controls across analytical workflows.
Lead technical design reviews and contribute to analytics engineering best practices across the organization.
Promote scalable development standards that improve reliability, maintainability, and performance.
Apply modern software engineering principles including version control, code review, deployment automation, and continuous improvement.
Partner with Data Governance teams to ensure ownership, lineage, controls, and traceability are embedded within analytical assets.

Accelerate Innovation and AI Enablement

Develop analytical foundations that support advanced analytics, machine learning, and emerging AI capabilities.
Collaborate with Data Pipeline Engineering, BI, and Analytics teams to ensure data products meet current and future business needs.
Identify opportunities to move the organization from one-off reporting solutions toward sustainable, reusable analytical products.
Support the modernization of enterprise analytics capabilities through innovative thinking and continuous improvement.
Help shape the future of data-driven decision-making at Securian Canada.

Collaborate and Lead

Serve as a trusted technical advisor across analytics, engineering, and business teams.
Provide mentorship and guidance on analytical modeling, transformation design, and data product development.
Build strong partnerships that foster collaboration, knowledge-sharing, and innovation.
Demonstrate ownership and accountability while delivering high-quality solutions that create measurable business value.

What You Will Bring

University degree in Computer Science, Data Engineering, Analytics, Engineering, or a related discipline, or equivalent practical experience.
8+ years of experience in analytics engineering, data engineering, BI engineering, or modern cloud data environments.
Advanced SQL expertise and significant experience developing production-grade ELT pipelines, dimensional models, and reusable analytical data products.
Experience working with modern cloud data warehouse, lakehouse, or analytics engineering platforms.
Strong understanding of semantic modeling, governed metrics, KPI frameworks, and enterprise analytics architecture.
Experience supporting AI, GenAI, machine learning, or advanced analytics solutions through well-structured and governed data foundations.
Proficiency in modern software development practices, including automated testing, data quality management, code review, deployment, and version control.
Excellent analytical and problem-solving skills, with the ability to translate business requirements into scalable technical solutions.
Experience with Python, modern BI platforms, and regulated industries is considered an asset.
A product-oriented mindset, with a passion for building reusable solutions that deliver long-term business value.
Strong communication skills and the ability to influence stakeholders across technical and non-technical teams.

Why join?

When you’re a part of Securian Canada, you’re a member of an agile and innovative, high-performing, bright-thinking, make-things-happen culture – so that together, we can discover the art of possible.

At our company, we see your potential on day one and challenge you to grow your unique strengths as you create a career filled with opportunity, collaboration, and purpose.

You’ll also be part of a team that’s committed to diversity, equity, and inclusion, and who values diverse perspectives, so that you can be the person you want to be – both in, and outside, work.

Securian Canada offers a competitive total rewards program with a variety of perks and benefits, including:

Flexible work arrangements with monthly financial allocations to support your work-life balance;
Generous starting paid vacation time, plus additional vacation days for every year of service;
Paid volunteer day so you can dedicate time to a cause you are passionate about;
Paid personal and wellness days to support your total wellbeing;
Educational assistance of up to $3,500 a year (with approval from your manager);
Flexible health and wellness account (in addition to comprehensive drug and dental coverage) to help pay for a wide range of wellbeing services that are meaningful to you;
Up to 14% of combined contributions to the RRSP matching program;
Family-friendly maternity/parental leave and,
Many more benefits, perks and programs.

If you have at least 70% of the qualifications we're looking for, want to work in a fast-growing, leading and progressive company, and feel driven to help Canadians and their families build secure futures – we want to hear from you!

Take the first step in building your future with Securian Canada. Apply now.

Securian Canada is committed to providing a barrier-free work environment and equal access to employment for all qualified applicants. As such, upon request, Securian Canada will work with applicants that require reasonable accommodations during the recruitment process. Please contact careers@securiancanada.ca for accommodation requests. All information shared during any accommodation request process will be stored and used only in a manner that is consistent with applicable laws and Securian Canada/Canadian Premier Life Insurance Company policies.

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More about this job

Responsibilities

Design and maintain reusable, governed data products - including curated datasets, data marts, semantic models, and certified metrics - to provide consistent insights for reporting and business decisions. Improve analytics engineering practices through testing, data quality controls, documentation, governance, collaboration, and mentorship, while building data foundations for advanced analytics and AI.

Requirements

Requires a university degree in a relevant discipline or equivalent practical experience, plus 8 or more years in analytics engineering, data engineering, BI engineering, or modern cloud data environments. Candidates should have advanced SQL, production ELT and data modeling experience, knowledge of semantic models and governed metrics, and proficiency in modern software development practices; Python, BI platforms, and regulated-industry experience are assets.

Skills

Advanced SQL
ELT Pipelines
Data Modeling
Dimensional Modeling
Data Products
Semantic Modeling
Data Warehousing
Data Quality Management
Automated Testing
Version Control
Code Review
Deployment Automation
Python
Business Intelligence
Machine Learning
Stakeholder Communication

Benefits

Flexible Work Arrangements
Paid Vacation
Paid Volunteer Day
Paid Personal Days
Paid Wellness Days
Educational Assistance
Health and Wellness Account
Drug Coverage
Dental Coverage
RRSP Matching
Maternity and Parental Leave

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
ELT
Data Engineering
Analytics Engineering
Business Intelligence
Cloud Data Warehouse
Lakehouse
Data Modeling
Dimensional Modeling
Data Marts
Semantic Models
Certified Metrics
KPI Frameworks
Data Products
Data Governance
Data Lineage
Data Quality
Automated Testing
Version Control
Code Review
Deployment Automation
Machine Learning
Generative AI
Advanced Analytics
Enterprise Analytics Architecture
Self-Service Analytics
Insurance

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