Staff Business Intelligence Engineer

About the role

Join Twilio as a Staff Business Intelligence Engineer, where you'll play a critical role in advancing the quality and strategic value of our Go-To-Market data. You'll be responsible for data analysis, monitoring, visualization, modeling, automation, cross-functional collaboration, and continuous improvement. This position offers remote work opportunities, generous time off, comprehensive health programs, retirement planning assistance, and more. Key missions: Utiliser des techniques analytiques avancées pour analyser de grands ensembles de données, extraire des informations significatives et fournir des recommandations exploitables.. Développer et maintenir des contrôles de qualité automatisés pour identifier et résoudre proactivement les écarts, garantissant l'exactitude et la cohérence des rapports critiques.. Collaborer avec diverses équipes pour comprendre les exigences commerciales et fournir un soutien analytique. Profile: - Advanced expertise in SQL and hands-on experience designing data models - Experience with business intelligence platforms such as Tableau, particularly in the context of executive reporting and sales analytics - Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment - 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 - 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 - 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