Staff Product Data Analyst

New

JaneSaaS analytics

Location: Canada/US; Workplace: RemoteFull-TimeStaff

SalaryCanada: $125,200 – $195,600 (accomplished: ~$148,700 CAD); United States: $116,800– $182,500 USD (accomplished: ~$138,700)

Apply NowOpens the employer's application page

Job Details

Experience: 6+ years of experience in Product Data Analyst, Analytics Engineering, or a similarly technical data role; 6+ years of experience building, deploying, and maintaining dbt projects in production environments.
Required Skills: SQLSnowflakeProduct AnalyticsdbtLooker

Have 6+ years of experience in Product Data Analyst, Analytics Engineering, or a similarly technical data role within a SaaS or high-growth technology company.
Have 6+ years of experience building, deploying, and maintaining dbt projects in production.
Bring expert-level SQL skills and experience designing scalable analytical data models.
Understand data architecture and query performance optimization.
Have experience modeling behavioral product data and building event-driven analytical datasets.
Have experience partnering with Engineering on product instrumentation requirements and product event data quality.
Have experience with Customer Data Platforms such as Segment or RudderStack.
Have experience designing semantic models, reusable business logic, governed datasets, and trusted metric definitions.
Have experience with data quality testing, documentation, observability, and governance best practices.
Have experience with analytics and visualization platforms such as Looker, Omni, Hex, or Sigma.
Have experience with modern cloud data platforms such as Snowflake, BigQuery, or Redshift.
Have experience using AI tools such as Cursor or Claude Code to improve analytics engineering workflows.

Build and maintain the product analytics data foundation for reporting, self-service, experimentation, and AI.
Partner with Engineering to define, implement, and validate product instrumentation before feature releases.
Design and maintain scalable dbt models that transform raw product events into trusted analytical datasets.
Build semantic models, standardized business logic, and governed metric definitions.
Develop certified datasets for analytics and visualization platforms such as Looker, Omni, and Hex.
Partner with Product Managers to translate business requirements into reusable analytical data models.
Monitor product data pipelines, identify instrumentation gaps and data quality issues, and implement improvements.
Improve how product data is modeled, governed, documented, and consumed.
Use AI to accelerate analytics engineering workflows, including modeling, testing, documentation, and code development.

View Full Description & ApplyYou'll be redirected to the employer's site