Analytics Engineer Lovable
Overview
We seek an Analytics Engineer to own data foundations that fuel GTM teams by building reliable models shaping metrics powering automation and turning raw data into insights and data products that drive Sales and Customer Success. This is a full‑stack role where you will own everything from raw data to insights and operationalization.
What You'll Do9
- 1Build scalable data pipelines using Spark and Airflow
- 2Design and maintain data warehouse models serving as source of truth for product usage and GTM metrics
- 3Model CRM data usage and billing data to power automation CRM enrichment lead definition and GTM tooling
- 4Create metrics dashboards and data UIs in Hex and Lovable for GTM leadership and teams
- 5Partner with Product and Engineering on event instrumentation and schema design
- 6Improve documentation observability governance and data best practices
- 7Own and improve data pipelines ingestion workflows and data quality testing
- 8Drive data‑driven decision making across sales and customer success organizations
- 9Collaborate with cross‑functional GTM teams to solve real problems with data
Requirements6
- 15+ years building ETL pipelines with Spark and Airflow
- 2Strong SQL and analytical data modeling skills (ideally dbt or SQLMesh)
- 3Experience with ELT/ETL workflows and cloud warehouses (Snowflake BigQuery Redshift Databricks)
- 4Comfort with Python for automation and light data engineering
- 5Experience with dashboards BI tools and self‑serve analytics
- 6Nice to have: experience with AI/LLM products instrumentation experimentation or early‑stage startups
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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