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Staff Analytics Engineer

Stytch

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

155520.00 - 228700.00 USD / Year
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Job Description:

This position is needed to advance the consistency & quality of our R&D analytics data layer and accelerate the development velocity of analysts. Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics.

Job Responsibility:

  • 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

Nice to have:

  • 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
What we offer:
  • competitive pay
  • 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

Additional Information:

Job Posted:
March 25, 2026

Expiration:
March 31, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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