Note: The job is a remote job and is open to candidates in USA. Jane App is a high-growth SaaS company focused on improving data management and analytics. The Staff Product Data Analyst role involves building a robust data foundation for product analytics, collaborating with cross-functional teams to enhance product instrumentation and ensure high-quality data for reporting and AI applications.
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
Company Overview