Staff, Analytics Engineer, GTM Data Science & Analytics

Twilio is a company shaping the future of communications through innovative solutions. They are seeking a Staff, Analytics Engineer to enhance the quality and strategic value of their Go-To-Market (GTM) data by designing a robust business data layer to support trusted sales analytics and empower data-driven decision-making.

Responsibilities:

• Design and implement a formal business data layer in dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics
• Collaborate with stakeholders within the GTM Operations team and Finance to define, document, and maintain alignment on key business metrics and data definitions
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review
• Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences

Requirements:

• Minimum 8 years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment
• Advanced expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using dbt
• 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
• Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences