Data & Analytics Engineer

Responsibilities

• Build and maintain the core data models that serve as the foundation for internal analytics and client-facing insights
• Design and operate the data pipelines that transform raw sources into clean, analytics-ready tables
• Create dashboards and reporting tools that drive performance visibility and decision-making across product, ops, and GTM
• Define and enforce metric consistency across teams — including core business KPIs and product usage definitions
• Help improve and scale our analytics stack (we use GCP BigQuery and Dataform, Fivetran, Postgres, and dashboarding tools)
• Collaborate with stakeholders across teams to understand data needs and translate them into reliable systems
• Contribute to internal data culture through documentation, education, and code quality standards

Requirements

• 3–6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership
• Expert-level SQL and comfort working in a code-first environment (versioning, testing, documentation)
• Experience designing data models that balance usability, performance, and long-term maintainability
• Familiarity with the modern data stack — dbt, Fivetran, Airflow, GCP/AWS/Snowflake, Metabase (or equivalents)
• Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
• Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals

Nice-to-Haves

• High NPS with your former teammates