Note: The job is a remote job and is open to candidates in USA. Twilio is hiring a Senior Analytics Engineer, R&D to improve the consistency and quality of its R&D analytics data layer and accelerate analyst development. The role designs and maintains analytics infrastructure, supports trusted reporting on R&D metrics, and partners with Data Science & Analytics, Product, and Engineering to enable data-backed decisions.
Responsibilities
- 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
Skills
- 4-5 years of professional experience in analytics engineering, data engineering, or a related discipline
- 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
- 5+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment
- 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
Benefits
- This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA; occasional travel may be required for project or team in-person meetings.
- Generous time off
- Ample parental and wellness leave
- Healthcare
- A retirement savings program
- This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan.
- Health care insurance
- 401(k) retirement account
- Paid sick time
- Paid personal time off
- Paid parental leave
- Supporting employees’ volunteering and donation efforts
Company Overview
Company H1B Sponsorship