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SeniorRemoteCanada/US

Product Data Analyst

J
jane
Уровень
Senior
Формат
Remote
О роли

Описание вакансии

About the company

Jane is a founder-led, high-growth SaaS company with a remote-first team working across Canada, the US, and the UK, united by our mission to help the helpers. This role is remote first.

Responsibilities
  • Build and maintain the product analytics data foundation that powers reporting, self-service, experimentation, and AI.
  • Partner with Engineering to define, implement, and validate product instrumentation before new features are released.
  • 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 that power modern analytics and visualization platforms such as Looker, Omni, Hex, and similar technologies.
  • Partner with Product Managers to translate business requirements into scalable, trusted, and reusable analytical data models.
  • Monitor product data pipelines, identify instrumentation gaps and data quality issues.
  • Continuously improve how product data is modeled, governed, documented, and consumed.
  • Leverage AI to accelerate analytics engineering workflows.
Requirements
  • 6+ years of experience in Product Data Analyst, Analytics Engineering, or a similarly technical data role within a SaaS or high-growth technology company.
  • Expert-level SQL skills and deep experience designing scalable analytical data models.
  • 6+ years of experience building, deploying, and maintaining dbt projects in production environments.
  • Experience modeling behavioral product data and building event-driven analytical datasets.
  • Experience partnering with Engineering teams to define product instrumentation requirements.
  • Experience working with Customer Data Platforms (CDPs) such as Segment or RudderStack.
  • Experience designing semantic models, reusable business logic, governed datasets, and trusted metric definitions.
  • Experience implementing data quality testing, documentation, observability, and governance best practices.
  • Experience building or supporting modern analytics and visualization platforms such as Looker, Omni, Hex, Sigma, or similar technologies.
  • Experience working with modern cloud data platforms such as Snowflake, BigQuery, or Redshift.
  • Experience using AI tools such as Cursor, Claude Code, or similar technologies.
  • Strong communication skills.
Conditions
  • Remote-first team working across Canada, the US, and the UK.
  • Compensation & Benefits: salary bands are intentionally wide, reflecting the full journey someone takes in a role.
Стек и навыки

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