Analytics Engineer

Job summary

Responsibilities

TL;DR - We’re seeking an Analytics Engineer to own the data foundations that fuel the GTM teams: building reliable models, shaping metrics, powering automation, and turning raw data into the insights and data products that drive Sales and Customer Success.

• Partner with Sales and CS on data and reporting needs. Translate ambiguous business questions into structured data models, analysis and actionable insights, and data-fueled…
• Build and maintain data warehouse models that serve as the source of truth for product usage and GTM metrics.
• Model CRM data, usage data, and billing data to power Sales and CS automation, CRM enrichment, lead definition and creation, and GTM tooling.
• Design metrics, dashboards, and data UIs in Hex and Lovable for GTM leadership and teams to access and operationalize data.
• Partner with Product and Engineering on event instrumentation and schema design.

What they're looking for

• Strong SQL and analytical data modeling skills (ideally dbt or SQLMesh).
• 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.

Tech stack

• SQL
• dbt
• Snowflake
• BigQuery
• Databricks
• Python