Analytics Engineer

• Data-Driven Culture: You will be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making
• Data Management: You will ingest, clean and organize raw data in a way that makes sense for both you and the team
• Project Management: You will lead data projects from ingestion to reporting, showing your experience to oversee, scope, and work with ambiguity, making uncertainty certain
• Collaborative Actualization: You will liaise between Business, Engineering, and Data to translate business requirements into proper data capture and schema design
• Data Strategy: You will help shape the data model at Super, which will advance our broader analytics strategy and build trust within the organization
• Teamwork: You will work with key stakeholders to understand existing processes and collaborate to design and implement improved and automated processes

Senior Analytics Engineer

• Build and operate core platform capabilities: Design and implement platform features that enable engineers across Affirm to build, deploy, and operate data applications at scale
• Develop integrations: Build and maintain integrations between the platform and internal systems
• Strengthen data access and governance: Design and operate secure data access patterns across the platform's analytical infrastructure
• Automate toil and unlock self-service: Identify recurring support patterns and build the automation and tooling to make them self-service
• Improve observability and incident response: Build telemetry, alerting, and log infrastructure for diagnosing and resolving issues
• Support platform operations: Participate in on-call coverage, triage production incidents across platform services
• Contribute to the emerging platform roadmap: Help design and build next-generation platform capabilities
• Raise the engineering bar: Set and hold high standards in code review, design, operational readiness

Senior Software Engineer, Backend – Lake Analytics Platform

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• Lead, coach, and develop a team of Lead and Senior Analytics Engineers - driving career growth, performance and a high-trust team culture.
• Stay deeply hands-on: write and review SQL/dbt code, drive technical design, and uphold a high bar for craftsmanship, testing and documentation across our Snowflake + dbt stack.
• Own the roadmap for your team’s portion of the analytics platform - prioritizing work that drives the most business impact and balancing delivery, quality and technical debt.
• Drive Forward’s data centralization vision by partnering with Business Intelligence and wider Analytics group to design and deliver scalable data models, marts, and a reliable semantic layer that serves as the company’s single source of truth.
• Lead the build-out of our semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products.
• Translate ambiguous business problems from leadership and cross-functional stakeholders into well-scoped technical solutions, communicating tradeoffs clearly to both technical and non-technical audiences.
• Champion data quality, observability, and governance - including testing, lineage, cataloging, and incident response - so stakeholders can trust the numbers.
• Drive technical excellence in our dbt project: model architecture, performance tuning, incremental strategies and CI/CD practices that scale as data volume and team size grow.
• Help shape our hiring bar - recruit, interview and onboard exceptional Analytics Engineers as the team continues to grow.

Manager, Analytics Engineering

• Provide superior operational support both on premise and in the Cloud
• Safeguard our client’s data
• Continuously monitor our environments to identify and implement operational improvement
• Ability to understand the code logic to analyze and troubleshoot data consumption issues for Sun Life clients
• Be able to write complex SQL queries, joins, and stored procedures to manipulate and analyze data
• Experience building and supporting ETL processes, data integration and pipelines
• Good business intelligence application experience to design, analyze, and format reports for clients

Support Engineer, Data & Analytics Operations

• Architect production-grade, fault-tolerant batch and real-time data pipelines within a compliance-governed AWS environment.
• Lead data modeling (dimensional, SCD, data vault) and build API/file-based integrations with encryption and audit logging at every point.
• Build CI/CD pipelines for data infrastructure with mandatory security scanning and approval gates.
• Conduct code reviews, mentor engineers, and produce technical documentation including ADRs, runbooks, and compliance evidence packages.

• Design, develop, test, deploy, and support BI, reporting, dashboard, semantic layer, and analytics solutions using approved BI, data warehouse, and cloud analytics platforms.
• Gather and translate business requirements into scalable BI, data, and analytics deliverables that support business goals and a single version of the truth.
• Write, validate, troubleshoot, and optimize complex SQL and BigQuery/GCP solutions to support reporting, analysis, reconciliation, data quality, and governed reporting.
• Develop and support BI platform objects, datasets, dashboards, visualizations, metrics, filters, prompts, semantic models, and other analytics components.
• Complete development tasks according to defined performance, cost, security, governance, data quality, and tool standards.
• Deliver assigned work within agreed timelines, ensuring solutions meet business requirements and technical quality expectations.
• Follow SDLC, Change Management, deployment, documentation, and DevOps procedures as defined by the team and organization.
• Create and execute technical testing, data validation, reconciliation, and production readiness activities.
• Monitor, tune, support, troubleshoot, and improve BI and data environments, including reports, dashboards, data refreshes, SQL performance, BigQuery cost/performance, data quality, standards, procedures, and operational reliability.
• Escalate delays, risks, blockers, and business-impacting issues to the appropriate project lead, manager, or support team.
• Apply automation, Python, JavaScript, AI, conversational analytics, and agent-based technologies where appropriate to improve analytics delivery, operational support, and business user experience.
• Collaborate with business, BI, data, integration, infrastructure, security, and vendor teams to support reliable, scalable, and governed analytics solutions.

BI Developer, Data & Analytics

• Lead architecture for reusable, scalable systems
• Evolve core abstractions, testing, CI/CD, observability, and cost efficiency
• Propose and drive initiatives on behalf of engineering management
• Expand and harden integrations with external advertising platforms
• Develop reusable query templates and optimize pipelines
• Mentor engineers up to L5; set code quality and review standards
• Build cross‑team partnerships

Analytics Engineer jobs in Canada

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Senior Analytics Engineer

Senior Software Engineer, Backend – Lake Analytics Platform

Analytics Engineer

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