Senior, Business Intelligence Engineer
Core
Design and maintain robust business data models and automated reporting to power sales analytics, Go-to-Market insights, and AI capabilities for a SaaS company.
Role type
Senior Business Intelligence Engineer (Analytics Engineering)
Builds
Scalable, code-based BI infrastructure, automated data reconciliation frameworks, and executive dashboards.
Domain
SaaS / Go-to-Market Analytics
Required skills
Advanced SQL, Tableau, Data Modeling, CI/CD pipelines, Data Quality frameworks, Git, Cross-functional stakeholder management
Preferred skills
Looker/LookML, dbt, Apache Superset, Cube.js, AI product tools (Claude, Cortex, Glean, Gemini), Salesforce, Gong
Technologies
Tableau, Looker, dbt, Cube.js, Apache Superset, GitHub Actions, GitLab CI, Jenkins, Salesforce, Gong, Git
Responsibilities
Analyze large datasets to generate actionable insights for revenue operations; Develop automated data reconciliation and quality testing frameworks; Build clear data visualizations for technical and business audiences; Design and maintain data models supporting Go-to-Market analytics; Drive BI-as-code practices using Git and CI/CD; Partner with cross-functional teams to standardize critical business metrics; Establish and document critical business metrics for organization-wide consistency; Mentor colleagues on data culture and best practices.
Seniority
Senior, hands-on IC