Senior Analytics Engineer

Join Twilio as a Senior Analytics Engineer, where you will play a crucial role in advancing the consistency and quality of our R&D analytics data layer. You will work closely with the Data Science and Analytics team, as well as Product & Engineering, to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics. Your responsibilities will include implementing a formal analytics data layer, developing automated data reconciliation and quality checks, leading investigations into complex data anomalies, and mentoring members of the data science and analytics team.

- 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.

- 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! - Proven track record of owning ambiguous projects from beginning to end with minimal guidance - Strong expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies - Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences - 4-5 years of professional experience in analytics engineering, data engineering, or a related discipline - 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 implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability - 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 - Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization - 5+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment - Expertise in Python; distributed computing technologies like Hive, Presto, and Spark; and dashboarding tools like Looker or Tableau