Analytics Engineer
Core
Own data foundations for GTM teams by building reliable models, shaping metrics, and turning raw data into insights and data products for Sales and Customer Success.
Role type
Full-stack Analytics Engineer
Builds
Data warehouse models, dashboards, data UIs, and data-fueled products for GTM operations
Domain
SaaS / GTM analytics / Data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, analytical data modeling, dbt, SQLMesh, ELT/ETL workflows, cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks), Python for automation, BI tools, self-serve analytics
Preferred skills
AI/LLM products, instrumentation, experimentation, early-stage startup experience
Technologies
dbt, SQLMesh, Snowflake, BigQuery, Redshift, Databricks, Hex, Lovable
Responsibilities
Partner with Sales and CS to translate business questions into structured data models and actionable insights; Build and maintain data warehouse models serving as the source of truth for product usage and GTM metrics; Model CRM, usage, and billing data to power automation and tooling; Design metrics, dashboards, and data UIs for GTM leadership; 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
Seniority
Mid-level, hands-on IC