Analytics Engineer
AI platform for creating, deploying, and managing full-stack software through natural-language interaction.
Maintainer signals as of 9/25/2026
Funding history
About Lovable
Lovable lets people describe an idea in plain language and collaboratively build production-grade software. Its platform includes hosting, authentication, payments, integrations, security features, and deployment infrastructure.
Skills
About the Role
Own the data foundations that support Sales and Customer Success by building reliable warehouse models, defining metrics, maintaining pipelines, designing dashboards and data interfaces, modeling CRM, usage, and billing data, and turning ambiguous business questions into actionable insights and operational data products.
Requirements
- Background in Data Engineering or Analytics Engineering
- Strong SQL and analytical data modeling skills
- Experience with dbt or SQLMesh
- Experience with ELT or ETL workflows and cloud warehouses
- Comfort with Python for automation and light data engineering
- Experience with dashboards, BI tools, and self-serve analytics
- Clear communication and collaboration skills
Responsibilities
- Partner with Sales and Customer Success on data and reporting needs
- Translate business questions into data models, analysis, insights, and data products
- Build and maintain warehouse models for product usage and go-to-market metrics
- Model CRM, usage, and billing data
- Design metrics, dashboards, and data interfaces in Hex and Lovable
- Partner on event instrumentation and schema design
- Improve documentation, observability, governance, and data practices
- Contribute to forecasting models, KPI definitions, and experimentation frameworks
- Own data pipelines, ingestion workflows, and data quality testing
Hiring Process
Fill in a short form, then have an initial exploratory call, followed by a round of interviews discussing your experience in more depth.