Staff Analytics Engineer

See yourself at Twilio

Join the team as Twilio’s next Staff Analytics Engineer, R&D.

About the job

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.

Responsibilities

In this role, you’ll:

• Design and implement a formal analytics data layer using AWS Glue, 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

Qualifications

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!

Required:

• 6+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment.
• Advanced 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

Desired:

• Intermediate expertise in Python; distributed computing technologies like Hive, Presto, or Spark