If you’re an experienced analytics professional who enjoys turning complex data into meaningful business insights, this could be an excellent opportunity to join Twilio. The company is looking for a Staff Analytics Engineer to work remotely in the United States, offering a competitive salary range of $155,000–$194,000 per year. This role is well suited for someone who can bridge the gap between data engineering, analytics, and business decision-making while helping build reliable, scalable data solutions.
Job Overview
| Field | Details |
|---|---|
| Company Name | Twilio |
| Role | Staff Analytics Engineer |
| Qualification | Bachelor’s degree or equivalent experience in Computer Science, Engineering, Data Analytics, Statistics, or a related field; strong experience in analytics engineering, data modeling, SQL, and modern data platforms |
| Job Location | Remote – United States |
| Salary | $155,000–$194,000 USD per year |
| Work Type | Remote |
| Job Type | Full-Time |
| Job Level | Staff / Senior-Level |
| Industry | Cloud Communications / Software / Technology |
Job Description
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, reporting, data science, & AI capabilities. The Staff, Analytics Engineer will play a mission-critical role in driving cross-functional alignment within GTM Data Science & Analytics and Sales Operations on key Sales & Finance 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 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 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
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to 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.
Selection Process
- Application submission and resume screening.
- Initial recruiter conversation.
- Technical and analytics-focused interview.
- Interviews with hiring manager and relevant team members.
- Assessment of problem-solving, data modeling, and collaboration skills.
- Final interview and hiring decision.
- Offer and onboarding.
How to Apply
- Visit Twilio’s official careers website.
- Search for the Staff Analytics Engineer position.
- Review the job requirements and responsibilities carefully.
- Prepare your updated resume and relevant professional information.
- Submit your application through the official Twilio careers portal.
- Complete any required assessments or interview stages.
- Follow up through the recruitment process if selected.
