[Remote] Staff Product Data Analyst

Note: The job is a remote job and is open to candidates in USA. Jane is a high-growth SaaS company building products and tools for clinics. The Staff Product Data Analyst will build the technical foundation for product analytics by improving instrumentation, developing scalable dbt models, standardizing business logic, and creating governed datasets that support reporting, experimentation, self-service analytics, and AI.

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 that ensure consistent product metrics across dashboards, self-service, and AI
• 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, and implement scalable, long-term improvements
• Continuously improve how product data is modeled, governed, documented, and consumed across the analytics platform
• Leverage AI to accelerate analytics engineering workflows, including data modeling, testing, documentation, and code development

Skills

• 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, with a strong understanding of data architecture and query performance optimization
• 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 and improve the quality and reliability of product event data
• 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 that enable consistent analytics across multiple consumption layers
• 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
• Strong understanding of how semantic models and governed metrics are consumed across dashboards, self-service analytics, and AI experiences
• 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 to improve analytics engineering workflows
• Strong communication skills and the ability to partner effectively with Engineering, Product, Analytics, and business stakeholders

Benefits

• This role also includes equity through our JSOP (Jane Stock Option Plan).
• Three opportunities to exercise options along the way.
• This role is remote first. We are not hybrid.

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