Senior Analytics Engineer, Twilio

• Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
• 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, with the ability to convey complex concepts to a range of audiences
• We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings

Desirable

• This position is needed to advance the consistency & quality of our R&D analytics data layer and accelerate the development velocity of analysts
• Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance
• You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics
• 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

• Applications for this role are intended to be accepted until 8/10/2026, but may change based on business needs