Senior Product Data Analyst

8+ years of experience in product analytics, analytics engineering, or data science. Comfortable with Command-Line Interfaces (CLI), Git-based version control, and CI/CD pipelines. Deep dbt expertise for building clean, tested, and documented data models. Mastery of event-based analytics for user behavior analysis. Proven experience building a data stack from scratch. Strong data quality obsession and ability to identify and fix discrepancies. Familiarity with ELT Tools (Fivetran, Airbyte) is a plus. AI/LLM familiarity is a plus. Experience merging data from multiple product lines is a plus. Familiarity with data schemas of Product databases, HubSpot, and Chargebee is a plus. Experience working with Snowflake is a plus. Background in B2B SaaS is a plus. Ability to commute to the Waltham office on occasion.

Establish trust and cleanliness in data sources. Build modern data stack using dbt and CI/CD pipelines. Enable self-service analytics through 'Explore' environments and semantic layers. Synthesize insights across customer, leadership, product, and shop health domains. Master event-based analytics to analyze user journeys. Collaborate with Engineering on tracking specifications. Drive data culture by training stakeholders and promoting data literacy.