Staff, Business Intelligence Engineer

Twilio•Us, CO,US

3d•$141,520 - $208,000•Remote

About The Position

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.

Requirements

Minimum 8 years of professional experience in business intelligence, analytics engineering, data engineering, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment.
Experience with business intelligence platforms such as Tableau, particularly in the context of executive reporting and sales analytics.
Advanced expertise in SQL and hands-on experience designing data models
Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment.
Proven track record of implementing robust data quality and testing frameworks, including expertise with CI/CD and data observability.
Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences.

Nice To Haves

Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics, Economics).
A software engineering mindset applied to data - understanding code reviews, automated testing, and environment separation (Dev/Staging/Prod)
Experience with code-based BI and semantic tools to orchestrate data pipelines (e.g., Looker/LookML, dbt, Cube.js, or Apache Superset).
Strong proficiency with Git version control and CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins).
Experience with AI products such as Claude, Cortex, Glean, Gemini
Experience with GTM technology stacks (e.g., Salesforce, Gong, etc)
Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization.

Responsibilities

Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency
Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards.
Create compelling visualizations to effectively communicate complex data insights, making information accessible and actionable for a diverse audience
Build and maintain data models to support GTM, helping the organization make informed strategic decisions
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
Work closely with various teams, including Sales, Marketing, Finance, and Product, to understand business requirements and provide analytical support
Identify opportunities to enhance data quality, reporting processes, and analytics tools to drive continuous improvement in data analysis capabilities