Job Description

Role 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.

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

• 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 Qualifications

• 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.

Location

This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Travel

For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

Benefits

• Competitive pay.
• Generous time off.
• Ample parental and wellness leave.
• Healthcare.
• A retirement savings program.
• And much more. Offerings vary by location.

Compensation

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $141,520.00 -- $176,900.00.
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00 - $187,300.00.
• Based in the San Francisco Bay area, California: $166,400.00 - $208,000.00.

This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

Equal Opportunity Employer

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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