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Senior Analytics Engineer
Securian Canada. Build and maintain curated analytical datasets, data marts, semantic models, and reusable data products .
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Build and maintain curated analytical datasets, data marts, semantic models, and reusable data products
- Transform enterprise data into trusted, scalable, business-ready assets
- Design analytical models balancing performance, usability, and scalability
- Create reusable business logic and data transformations
- Develop semantic models, certified metrics, KPIs, and shared business logic
- Translate complex business requirements into reliable technical solutions
- Support self-service analytics with intuitive and governed data products
- Document and maintain traceability of analytical assets
- Implement automated testing, validation, reconciliation, and data quality controls
- Lead technical design reviews and contribute to analytics engineering best practices
- Apply version control, code review, deployment automation, and continuous improvement
- Partner with Data Governance to embed ownership, lineage, controls, and traceability
- Develop analytical foundations for advanced analytics, machine learning, and AI
- Collaborate with Data Pipeline Engineering, BI, Analytics, and business teams
- Modernize enterprise analytics and move beyond one-off reporting solutions
- Serve as a trusted technical advisor and mentor colleagues
- Build partnerships that foster collaboration, knowledge-sharing, and innovation
Requirements
What you’ll need- 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
- Significant experience developing production-grade ELT pipelines, dimensional models, and reusable analytical data products
- Experience 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 automated testing, data quality management, code review, deployment, and version control
- Excellent analytical and problem-solving skills
- Ability to translate business requirements into scalable technical solutions
- Experience with Python, modern BI platforms, and regulated industries is considered an asset
- Product-oriented mindset focused on reusable solutions and long-term business value
- Strong communication skills and ability to influence technical and non-technical stakeholders
Benefits
Comp & perks- Flexible work arrangements with monthly financial allocations to support work-life balance
- Generous starting paid vacation time, plus additional vacation days for every year of service
- Paid volunteer day
- Paid personal and wellness days
- Educational assistance of up to $3,500 per year, with manager approval
- Flexible health and wellness account
- Comprehensive drug and dental coverage
- Up to 14% combined contributions to the RRSP matching program
- Family-friendly maternity/parental leave
- Diversity, equity, and inclusion-focused workplace
- Reasonable accommodations during the recruitment process