This role involves building and maintaining analytics infrastructure for revenue operations, including creating dbt models, designing data transformations, standardizing metrics, and developing dashboards. The position requires strong SQL skills, experience with dbt and BigQuery, and the ability to translate business questions into data insights.
You will build the trusted analytics foundation for the revenue organization by modeling raw data into curated tables, standardizing revenue metrics, maintaining the semantic layer, creating official self-service dashboards, and translating go-to-market questions into actionable insights.
Responsibilities
Build and maintain the curated Cortex data layer
Create dbt models and transformations from raw sources to trusted tables
Design a scalable transformation architecture
Define and standardize ARR, pipeline, conversion, forecasting, and other core business calculations
Create and maintain the semantic layer as a single source of truth
Build and own official dashboards, metrics, and reporting
Translate revenue operations questions into data, metrics, dashboards, and recommendations
Requirements
Strong SQL skills
Hands-on data modeling experience
Experience with dbt or an equivalent transformation framework
Proven dashboard and business intelligence skills
Strong data visualization and metric definition skills
Ability to own the full path from raw data to model to metric to dashboard
Ability to translate GTM and RevOps questions into data
Experience with BigQuery and the modern data stack
Python experience for heavier transformations
Experience in a GTM, RevOps, or commercial analytics context
Ability to partner directly with stakeholders and present insights