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 analytics data layer using AWS Glue, Athena / Presto, and LookML
Collaborate within the Data Science & Analytics team and across Product &: Engineering to define, document, and maintain alignment on metric definition and data lineage
Develop and maintain automated data reconciliation and quality checks to: proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
Lead investigations into complex data anomalies, conduct root cause analysis,: and communicate findings and solutions effectively to both technical and non-technical audiences
Mentor and guide members of the data science and analytics team, establishing: and enforcing best practices around data modeling, testing, documentation, and code review
years of professional experience in analytics engineering, data engineering, or a related discipline
What they're looking for
- Strong expertise in SQL and hands-on experience designing data models and: orchestrating data pipelines using AWS Glue or similar technologies
- 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 owning ambiguous projects from beginning to end with minimal guidance
- Strong technical communication and mentorship skills, with the ability to: convey complex concepts to a range of audiences