Analytics Engineer

The role

The Analytics Engineer will own data foundations to fuel GTM teams. This includes building reliable models, shaping metrics, and turning raw data into insights and data products for Sales and Customer Success.

What you will do

• Partner with Sales and CS on data and reporting needs.
• Translate business questions into structured data models, analysis, and actionable insights.
• Build and maintain data warehouse models for product usage and GTM metrics.
• Model CRM data, usage data, and billing data to power automation and tooling.
• Design metrics, dashboards, and data UIs in Hex and Lovable.
• 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.

Required qualifications

• Background in Data Engineering or Analytics Engineering.
• Strong SQL and analytical data modeling skills.
• 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
• early-stage startups

Before you apply

• Fill in a short form then jump on an initial exploratory call.
• Discuss experience in more depth during a round of interviews.
• Submit application in English.

About the company

Lovable is a software creation platform. It is a fast-growing AI company with teams in Stockholm, London, Boston, New York, and San Francisco.