Staff Analytics Engineer

Twilio is a company shaping the future of communications by delivering innovative solutions to businesses and empowering developers. They are seeking a Staff Analytics Engineer to enhance the quality of their R&D analytics data layer and support data-driven decision-making across the organization.

Responsibilities:

• Design and implement a formal analytics data layer using AWS Glue, 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

Requirements:

• 6+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment
• Advanced 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
• Intermediate expertise in Python; distributed computing technologies like Hive, Presto, and Spark; and dashboarding tools like Looker or Tableau
• Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability
• Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization