Senior Analytics Engineer - CANADA (Remote)
Core
Build and scale the analytical foundation powering decision-making for Go-to-Market, Product, Finance, People, and Operations teams by transforming raw data into clean, well-modeled datasets.
Role type
Senior Analytics Engineer (Data Engineering & Analytics)
Builds
Production data models, semantic layers for AI agents, and trusted datasets for executive dashboards and experimentation.
Domain
SaaS / Real Estate Technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, modern data modeling, Python, Snowflake, Salesforce data modeling, ELT pipelines, cross-system reconciliation, event-based/product usage data, marketing attribution, semantic layers, CI/CD, Git workflows
Preferred skills
Airflow DAGs, statistics and experiment design, predictive modeling fundamentals, financial SaaS metrics, people analytics
Technologies
dbt, Snowflake, Python, Airflow, Salesforce, Posthog, Mixpanel
Responsibilities
Own and evolve the dbt project ensuring performant, tested, and documented models; Design and maintain Snowflake data warehouse and ingestion processes; Build custom Python/Airflow pipelines to ingest third-party API data; Design cross-system reconciliation models to surface discrepancies; Implement testing and observability for analytics pipelines; Standardize metric definitions and enforce CI/CD best practices; Act as data liaison between Engineering, GTM, and Finance; Design and maintain Snowflake Cortex semantic views for AI agents; Build measurement frameworks for AI-powered initiatives.
Seniority
Senior, hands-on IC