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TwilioTwilioUnited States

Senior Analytics Engineer

Senior Analytics Engineer building and maintaining a robust analytics data layer for R&D metrics at Twilio using AWS tools and LookML. Requires 4-5+ years experience in analytics/data engineering, strong SQL and stakeholder collaboration skills to ensure data quality and alignment.

142k – 208k/yr
Remote5+ YOEData Analytics

About the role

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

Qualifications

Required:

  • 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

Desired:

  • 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

Skills

SQLaws glueathenaprestolookmlPythonSparkLookerTableaudbtCI/CDhive

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