Experience partnering with Data Scientists on experimentation, attribution, or incrementality measurement
Familiarity with marketing platforms (ie Google Ads, Meta, Google Analytics, SEO tooling)
Python experience for automation or advanced transformations
Comfort using AI-assisted developer tools to improve code quality and speed (e.g., generating tests, validating logic, comparing suggestions)
Experience contributing to analytics engineering best practices such as testing, documentation, or data quality standards
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants
CAN
$139,000—$146,500 CAD
3–5 years of experience in Analytics Engineering, Data Engineering, or closely related roles, with hands-on ownership of production data models and pipelines
Strong SQL skills and hands-on experience building well-architected dimensional data models (star schemas, fact/dimension tables, SCDs)
Hands-on experience with the modern data stack, including dbt, Snowflake, and Airflow
Working knowledge of marketing data and metrics — including paid media performance, attribution concepts, and channel-level measurement — or the ability to ramp quickly
Demonstrated ability to deliver complete data models and pipelines independently, manage multiple priorities, and write clean, well-documented, well-tested code
Effective communicator who can collaborate across data, marketing, and engineering teams to understand requirements and deliver solutions