3 months ago
Stockholm, Sweden +2 moreSenior
Responsibilities
- Partner with Sales and Customer Success to translate ambiguous business questions into structured data models, analysis, insights, and data products.
- Build and maintain data warehouse models for product usage and GTM metrics.
- Model CRM, usage, and billing data to power automation, CRM enrichment, lead definition and creation, and GTM tooling.
- Design metrics, dashboards, and data UIs in Hex and Lovable.
- Partner with Product and Engineering on event instrumentation and schema design.
- Improve data documentation, observability, governance, and data practices.
- Contribute to forecasting models, KPI definitions, and experimentation frameworks.
- Own and improve data pipelines, ingestion workflows, and data quality testing.
Requirements
- Strong SQL and analytical data modeling skills, ideally with dbt or SQLMesh.
- Experience with ELT/ETL workflows and cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
- Comfort using Python for automation and light data engineering.
- Experience with dashboards, business intelligence tools, and self-serve analytics.
- Clear communication, collaboration, and comfort working in ambiguous situations.
- Experience partnering with cross-functional go-to-market teams to solve business problems with data.
- Preferred experience with AI/LLM products, instrumentation, experimentation, or early-stage startups.
About Lovable
Lovable builds an AI-native software creation platform that lets people build apps and websites by chatting with AI, along with tools such as gptengineer.app. It serves solopreneurs, small businesses, and enterprise teams, and users have created over 60 million projects since its November 2024 launch, with customers including Adidas and Zendesk. The company is privately held and headquartered in Stockholm.