Analytics Engineer

Summary

Join Twilio as a Staff, Analytics Engineer of GTM Data Solutions & Insights to enhance the quality, reliability, and strategic value of Twilio’s Go-To-Market (GTM) data. You will design and maintain a robust business data layer in Snowflake and dbt, ensuring data from multiple sources is centralized and serves as a single source of truth. Collaborate with stakeholders to define and maintain key business metrics and data definitions. Develop and maintain automated data reconciliation and quality checks. Mentor team members and lead investigations into complex data anomalies. This remote position, based in Ontario, may require occasional travel.

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

Responsibilities

• Design and implement a formal business data layer in Snowflake and 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 also 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

Preferred Qualifications

• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics, Economics)
• Experience with business intelligence platforms such as Tableau or Looker, particularly in the context of executive reporting and sales analytics
• Familiarity with software engineering best practices, including version control (Git) and DataOps
• Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization

Benefits

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program