Staff, Analytics Engineer, GTM Data Science & Analytics

Role Overview

Join Twilio as a Staff Analytics Engineer for GTM Data Science & Analytics. You will design and maintain a robust GTM business data layer to power trusted sales analytics, reporting, data science, and AI capabilities.

Responsibilities

• Design & implement a formal business data layer in dbt, centralizing and reconciling data from multiple sources to serve as a single source of truth for GTM metrics.
• Collaborate with GTM Operations and Finance to define, document, and maintain alignment on key business metrics and data definitions.
• Build automated data reconciliation and quality checks to proactively detect and resolve discrepancies in critical reports and dashboards.
• Mentor the data science/analytics team and establish best practices for data modeling, testing, documentation, and code review.
• Lead root-cause investigations for complex data anomalies and communicate outcomes to technical and non-technical stakeholders.

Requirements

• 8+ years in analytics engineering, data engineering, business intelligence, or related fields (preference for GTM/sales analytics experience in a SaaS environment).
• Advanced SQL and hands-on experience designing data models.
• Experience orchestrating data pipelines using dbt.
• Proven ability to partner with cross-functional stakeholders to codify, document, and reconcile business metrics.
• Track record implementing data quality and testing frameworks, including dbt tests, CI/CD, and data observability.
• Strong technical communication and mentorship skills.

Location & Travel

• Remote role, but not eligible in CA, CT, NJ, NY, PA, WA.
• Occasional travel may be required for in-person project/team meetings.