Senior Analytics Engineer

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.

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!

Responsibilities

• 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.

Requirements

• 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

Pay

USD 141,520 - 208,000