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Lovable

Analytics Engineer

Boston (Remote)fulltimemidAdded today

About this role

Analytics Engineer role at Lovable focused on building data foundations for GTM teams. You'll own data modeling, metrics design, and automation to transform raw data into actionable insights and self-serve analytics products for Sales and Customer Success.

What you'll do

  • Build and maintain data warehouse models serving as the source of truth for product usage and GTM metrics
  • Model CRM, usage, and billing data to power sales automation, lead scoring, and GTM tooling
  • Design metrics, dashboards, and data UIs in Hex and Lovable for GTM leadership and teams
  • Partner with Product and Engineering on event instrumentation and data schema design
  • Own data pipelines, ingestion workflows, and data quality testing
  • Improve data documentation, observability, governance, and best practices

What they're looking for

  • SQL and analytical data modeling (dbt or SQLMesh preferred)
  • ELT/ETL workflows and cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
  • Python for automation and light data engineering
  • BI and dashboard tools, self-serve analytics platforms
  • CRM and usage data modeling
  • Cross-functional communication and collaboration
  • Event instrumentation and data quality frameworks
  • Forecasting and experimentation design
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Lovable

Website
lovable.dev
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Likely interview questions

  • Walk us through your experience building data models in dbt or SQLMesh and how you've ensured they served as a reliable source of truth for stakeholders.
  • Describe a time you translated an ambiguous business question from a GTM team into a structured data model and actionable insights—what was your process?
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