Staff Product Data Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and sustain the product analytics data infrastructure that supports reporting, self-service, experimentation, and AI initiatives.

• Collaborate with Engineering to establish, implement, and verify product instrumentation prior to feature launches.

• Design and uphold scalable dbt models that convert raw product events into reliable analytical datasets.

• Create semantic models, standardized business logic, governed metric definitions, and certified datasets.

• Drive analytics and visualization platforms such as Looker, Omni, and Hex.

• Work alongside Product Managers to transform business requirements into scalable, reliable, reusable analytical data models.

• Oversee product data pipelines and detect instrumentation gaps and data quality concerns.

• Execute scalable, long-term enhancements to product data quality.

• Enhance the modeling, governance, documentation, and consumption of product data.

• Utilize AI to expedite analytics engineering workflows, encompassing modeling, testing, documentation, and code development.

• Engage with Engineering, Product, Growth, Analytics, and business stakeholders.

⛳️ Requirements

• Over 6 years of experience in Product Data Analysis, Analytics Engineering, or a similar technical data role within a SaaS or high-growth technology organization.

• Proficient in SQL at an expert level.

• Extensive experience in designing scalable analytical data models.

• Strong knowledge of data architecture and optimizing query performance.

• More than 6 years of experience in building, deploying, and maintaining dbt projects in production environments.

• Experience in modeling behavioral product data and creating event-driven analytical datasets.

• Proven track record of partnering with Engineering teams on product instrumentation requirements and ensuring product event data quality.

• Familiarity with Customer Data Platforms like Segment or RudderStack.

• Experience in designing semantic models, reusable business logic, governed datasets, and reliable metric definitions.

• Background in implementing data quality testing, documentation, observability, and governance best practices.

• Proficient with modern analytics and visualization platforms such as Looker, Omni, Hex, Sigma, or equivalent.

• Strong grasp of semantic models and governed metrics across dashboards, self-service analytics, and AI applications.

• Experience with Snowflake, BigQuery, or Redshift.

• Familiarity with AI tools like Cursor or Claude Code.

• Excellent communication skills and the ability to effectively partner with Engineering, Product, Analytics, and business stakeholders.

• Must currently reside and work in Canada.

• Must be eligible to work in Canada without employer sponsorship.

• Jane cannot provide support for relocation, visa sponsorship, or employment through a third party or employer of record.

🏝️ Benefits

• Annual salary range from $125,200 to $195,600.

• Regular discussions about career development with your manager.

• Opportunities for compensation growth as your experience and contributions increase.

• Comprehensive benefits package.

• Canadian benefits included.

• AI-supported interview process featuring transcription tools.