Staff, Analytics Engineer, GTM Data Science & Analytics

The Staff Analytics Engineer role focuses on building and maintaining a robust GTM data layer to enable trusted sales analytics, reporting, data science, and AI initiatives across Sales and Finance, while driving cross-functional alignment on key metrics.

Responsibilities

• Design and implement a formal business data layer in dbt, consolidating data from multiple sources and serving as the single source of truth for GTM metrics.
• Collaborate with GTM Operations and Finance to define, document, and maintain alignment on key business metrics and data definitions.
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards.
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review.
• Lead investigations into complex data anomalies, perform root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences.

Requirements

• Minimum 8 years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment.
• Advanced expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using dbt.
• 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 implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability.
• Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences.

Technologies

• dbt
• SQL

Benefits

• Health care insurance
• 401(k) retirement account
• paid sick time
• paid personal time off
• paid parental leave
• equity plan
• corporate bonus plan

Location

Remote role. Not eligible to be hired in CA, CT, NJ, NY, PA, or WA.

Travel

Occasional travel may be required to participate in project or team in-person meetings with customers and colleagues.

What We Offer

Twilio provides competitive pay, generous time off, parental and wellness leave, healthcare, a 401(k) plan, and more. Offerings vary by location.

Compensation

The estimated pay ranges for this role vary by location:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400.
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640 - $205,800.
• Based in the San Francisco Bay area, California: $182,960 - $228,700.

The role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for health care insurance, 401(k) retirement, paid sick time, paid personal time off, and paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Twilio Thinks Big

Twilio seeks problem solvers who take initiative and contribute across teams. The company supports volunteering and donations and embraces the Twilio Magic values. If this role aligns with your goals, apply. Twilio is proud to be an equal opportunity employer and does not discriminate based on protected characteristics. Qualified applicants from diverse backgrounds are encouraged to apply.