Staff Business Intelligence Engineer

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Twilio

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience.Twilio has democratized communications channels like voice, text, chat, video, and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications.By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.Founded in 2008, Twilio has over 5,000 employees in 26 offices in 17 countries and counting, with headquarters in San Francisco and other offices in Atlanta, Bangalore, Berlin, Bogotá, Denver, Dublin, Paris, Prague, Hong Kong, Irvine, London, Madrid, Munich, Malmö, Mountain View, Redwood City, New York City, São Paulo, Sydney, Melbourne, Singapore, Tallinn, and Tokyo.

📋 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