Staff, Business Intelligence Engineer, GTM Data Science & Analytics

Join the team as Twilio’s next Staff, Business Intelligence Engineer, GTM Data Science & Analytics.

This position is needed to advance the quality, reliability, and strategic value of Twilio’s Go-To-Market (GTM) data by designing and maintaining robust business data models to enable trusted sales analytics, reporting, data science, & AI capabilities. The Staff, Business Intelligence Engineer will play a mission-critical role in our evolution from traditional BI to AI, ensuring data consistency and empowering data-driven decision-making.

Responsibilities

• ​​Data Analysis and Interpretation: Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency
• Data Monitoring: Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards.
• Data Visualization: Create compelling visualizations to effectively communicate complex data insights, making information accessible and actionable for a diverse audience
• Data Modeling: Build and maintain data models to support GTM, helping the organization make informed strategic decisions

• Data Automation (BI-as-Code): Drive the automation of our business intelligence ecosystem by treating dashboards and semantic layers as code. You will leverage Git, automated testing frameworks, and CI/CD pipelines to ensure our data infrastructure is reproducible, version-controlled, and highly scalable
• Cross-Functional Collaboration: Work closely with various teams, including Sales, Marketing, Finance, and Product, to understand business requirements and provide analytical support
• Continuous Improvement: Identify opportunities to enhance data quality, reporting processes, and analytics tools to drive continuous improvement in data analysis capabilities