Staff Analytics Engineer (GTM Data Science & Analytics)

Join Twilio as a Staff Analytics Engineer, where you will play a critical role in advancing the quality and strategic value of our Go-To-Market (GTM) data. You will design and maintain a robust business data layer, ensuring data consistency and empowering data-driven decision-making. You will collaborate with stakeholders, develop automated data reconciliation and quality checks, mentor team members, and lead investigations into complex data anomalies. Enjoy benefits such as work-from-home opportunities, generous annual time off, comprehensive health programs, and more.

• 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.
• Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment
• 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
• 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