
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.
🔥 17 minutes ago
🏄 California, Connecticut, +4 more states – Remote
💵 $141.5k - $176.9k / year
⏰ Full Time
🟠 Senior
📊 Analytics Engineer
🦅 H1B Visa Sponsor
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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.
• Design and implement a formal analytics data layer using AWS Glue, Athena / Presto, and LookML • Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage • Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards • Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences • Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review
• 4-5 years of professional experience in analytics engineering, data engineering, or a related discipline • Strong expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies • 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 owning ambiguous projects from beginning to end with minimal guidance • Strong technical communication and mentorship skills
• Healthcare • Retirement savings program • Generous time off • Ample parental leave • Wellness leave
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