The opportunity
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
What you'll do
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.
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.
What they're looking for
- 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.
