Jobs in Austin, United States

See yourself at Twilio

Join the team as Twilio’s next Staff, Analytics Engineer of GTM Data Solutions & Insights!

About the job

This position is needed to advance the quality, reliability, and strategic value of Twilio’s Go-To-Market (GTM) data by designing and maintaining a robust business data layer to enable trusted sales analytics and reporting. The Staff, Analytics Engineer will play a mission-critical role in driving cross-functional alignment within Sales Operations team and also Finance on key business metrics, ensuring data consistency and empowering data-driven decision-making.

Responsibilities

In this role, you’ll:

• Design and implement a formal business data layer in Snowflake and dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics.
• Collaborate with stakeholders within the GTM Operations team and also 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, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences.

Qualifications

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 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.

Desired:

• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics, Economics).
• Experience with business intelligence platforms such as Tableau or Looker, particularly in the context of executive reporting and sales analytics.
• Familiarity with software engineering best practices, including version control (Git) and DataOps.
• Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization.

Location

1. This role will be remote, and based in Ontario.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.