twilio
Senior Analytics Engineer
At a Glance
- Location
- United States
- Work Regime
- remote
- Compensation
- the San Francisco Bay area): $149,840.00 - $187,300.00. Based in the San Francisco B
- Posted
- 2026-07-28T12:12:27-04:00
Requirements
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!
Compensation & Benefits
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00 -- $176,900.00
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00 - $187,300.00.
Responsibilities
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