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Analytics Engineer

Lovable LogoLovable
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Location

Boston, MA; Hybrid

We’re looking for an Analytics Engineer with a background in Data Engineering or Analytics Engineering who operates as a true full-stack analyst, owning everything from raw data to insights to operationalization.

You bring:

  • Strong SQL and analytical data modeling skills (ideally dbt or SQLMesh).
  • Experience with ELT/ETL workflows and cloud warehouses (Snowflake, BigQuery, Redshift, Databricks).
  • Comfort with Python for automation and light data engineering.
  • Experience with dashboards, BI tools, and self-serve analytics.
  • Clear communication, collaboration, and comfort working in ambiguity.
  • Nice to have: experience with AI/LLM products, instrumentation, experimentation, or early-stage startups.

What you'll do

  • Partner with Sales and CS on data and reporting needs. Translate ambiguous business questions into structured data models, analysis and actionable insights, and data-fueled products.
  • Build and maintain data warehouse models that serve as the source of truth for product usage and GTM metrics.
  • Model CRM data, usage data, and billing data to power Sales and CS automation, CRM enrichment, lead definition and creation, and GTM tooling.
  • Design metrics, dashboards, and data UIs in Hex and Lovable for GTM leadership and teams to access and operationalize data.
  • Partner with Product and Engineering on event instrumentation and schema design.
  • Improve documentation, observability, governance, and data best practices.
  • Contribute to forecasting models, KPI definitions, and experimentation frameworks.
  • Own and improve data pipelines, ingestion workflows, and data quality testing.

You’ll thrive here if you

  • Enjoy building clean, reliable, reusable data models.
  • Have experience partnering closely with cross-functional GTM teams to solve real problems with data.
  • Prefer simplicity over complexity in data and tooling design.
  • Communicate clearly and proactively with technical and non-technical teams.
  • Take ownership, move quickly, and iterate often.
  • Want to help define and scale Lovable’s data foundations and culture.
  • Care about the rep experience and view analytics as a product.

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