Analytics Engineer

📋 Description

• • We’re seeking an Analytics Engineer to own the data foundations that fuel the GTM teams: building reliable models, shaping metrics, powering automation, and turning raw data into the insights and data products that drive Sales and Customer Success.
• • Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast.
• • We’re a small, talent-dense team building a generation-defining company. We value extreme ownership, high velocity and low-ego collaboration.
• • 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.
• • 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.
• • HOW WE HIRE
• • Fill in a short form then jump on an initial exploratory call.
• • Discuss your experience in more depth during a round of interviews with us.
• • ABOUT YOUR APPLICATION
• • Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.
• • We treat all candidates equally - if you’re interested please apply through our careers portal.