Twilio
5001 - 10000 employees
🔌 API
🤝 B2B
API • B2B
Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.
Staff Business Intelligence Engineer
🕒 June 17
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Twilio
5001 - 10000 employees
🔌 API
🤝 B2B
API • B2B
Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.
📋 Description
• Own and evolve Twilio's suite of business intelligence tools, driving governance, performance, and long-term roadmap decisions • Design and build scalable, reusable dashboards and reports that surface actionable insights for stakeholders across legal, billing operations, and other mission critical business functions • Architect and deploy agentic AI solutions that enable natural language querying, automated insight generation, and self-service analytics for non-technical business partners • Collaborate with data engineers, business partners, and AI/ML engineers to translate complex analytical requirements into reliable, well-documented data products • Establish and champion BI best practices, including semantic layer design, metric definitions, data access governance, and documentation standards • Partner with business leaders to identify opportunities where better data visibility can drive meaningful outcomes, and prioritize accordingly
🎯 Requirements
• 7+ years of experience in business intelligence, data analytics, or a related field, with at least 2 years in a staff or senior individual contributor role • Proven experience managing and administering enterprise BI platforms (Tableau, Looker, Superset, or similar) • Strong SQL skills and experience with data modeling in a modern data warehouse (e.g., Snowflake, Athena, etc.) • Track record of delivering self-service analytics capabilities that reduced dependency on centralized data teams • Experience working directly with business stakeholders to define requirements and translate them into scalable data products • Experience with dbt or similar semantic/transformation layers (desired) • Familiarity with Python for analytics automation or data pipeline work (desired) • Experience with LLMs, AI agents, or other AI technologies applied to analytics use cases (desired) • Familiarity with data governance frameworks and access control best practices (desired)
🏖️ Benefits
• Competitive pay • Generous time off • Ample parental and wellness leave • Healthcare • Retirement savings program
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