Senior Analytics Engineer - CANADA (Remote)

5+ years of experience as an analytics engineer, data engineer, or similar role in a SaaS environment. Deep expertise in SQL, dbt, and modern data modeling best practices. Proven experience working with event-based and product usage data. Experience connecting marketing data to product analytics. Comfortable with large-scale data systems (Snowflake, BigQuery, Redshift). Strong familiarity with CI/CD, Git-based workflows, and automated testing. Experience collaborating cross-functionally with engineers, analysts, and product managers. Demonstrated success using analytics to drive decisions in a technical or product-focused environment. Comfort taking ownership of ambiguous problems and designing end-to-end solutions. Proficiency in Python for deeper analysis and automation (Nice to Have). Experience building and maintaining Airflow DAGs (Nice to Have). Experience with Spark and PySpark (Nice to Have).

Own and evolve the dbt project, ensuring performant, tested, and documented models. Design and maintain the Snowflake data warehouse and ingestion processes. Create core entities and datasets using modern data modeling best practices. Implement testing and observability for analytics pipelines. Enforce CI/CD best practices. Standardize metric definitions. Act as data liaison between Engineering, GTM, and Finance. Enable stakeholder self-service access to trusted insights. Drive data literacy and coach stakeholders toward self-serve.