Staff, Business Intelligence Engineer
Core
Design and maintain robust business data models to enable trusted sales analytics, reporting, data science, and AI capabilities for Go-To-Market (GTM) operations.
Role type
Staff Business Intelligence Engineer (GTM Data Science & Analytics)
Builds
GTM data models, automated data reconciliation, dashboards, and semantic layers for sales analytics
Domain
SaaS / Go-To-Market / Sales Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced SQL, Data Modeling, Tableau, CI/CD pipelines, Data Quality frameworks, Git, Cross-functional collaboration
Preferred skills
Code-based BI (Looker, dbt, Cube.js), AI product experience, GTM tech stacks (Salesforce, Gong), Data culture evangelism
Technologies
Tableau, Git, GitHub Actions, GitLab CI, Jenkins, Looker, dbt, Cube.js, Apache Superset, Salesforce, Gong
Responsibilities
Analyze large datasets to extract insights for revenue operations; Develop automated data reconciliation and quality checks; Create visualizations for complex data insights; Build and maintain data models for strategic decisions; Drive automation of BI ecosystem using BI-as-Code principles; Partner with Sales, Marketing, Finance, and Product teams
Seniority
Staff, hands-on IC with mentorship
