Staff, Analytics Engineer, GTM Data Science & Analytics

Stack

Responsibilities

• ▹Design and implement a formal business data layer in dbt, centralizing and reconciling data from multiple sources 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
• ▹Develop and maintain automated data reconciliation and quality checks for accurate, consistent reports and dashboards
• ▹Mentor members of the data science and analytics team, establishing best practices in data modeling, testing, documentation and code review
• ▹Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings to technical and non-technical audiences

Requirements

• ▹Minimum 8 years of professional experience in analytics engineering, data engineering or business intelligence, preferably supporting GTM/sales analytics in a SaaS environment
• ▹Advanced SQL expertise and hands-on experience designing data models and orchestrating pipelines with dbt
• ▹Demonstrated ability to partner with cross-functional stakeholders to codify, document and reconcile critical business metrics
• ▹Proven track record implementing robust data quality and testing frameworks (dbt tests, CI/CD, data observability)
• ▹Strong technical communication and mentorship skills

Soft skills

What we offer

• ▹Health care insurance
• ▹401(k) retirement savings program
• ▹Paid sick time, paid personal time off, paid parental leave
• ▹Equity plan and corporate bonus plan

About the company

Twilio delivers innovative communications solutions to hundreds of thousands of businesses and empowers millions of developers to craft personalized customer experiences. A remote-first company with a global presence.