Senior Business Intelligence Engineer

Twilio

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$116,960–$146,200 / yr
Posted
76 days ago
Freshness
Confirmed live today
Closes
Jan 16, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $132k
$105k most similar roles pay here $226k

This role pays less than 89% of similar roles. Most pay $149,500–$214,000 — the shaded band above. At the midpoint, this role pays about $132k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Twilio

Twilio is a cloud communications platform that provides APIs and software, allowing developers to embed voice, messaging, video, and email functionalities directly into their applications.

Twilio currently has 28 open roles on FindRole.

Listed pay typically runs $155,520–$194,400 across 19 roles with salary data.

Most-posted roles

View all roles at Twilio

At a glance

TL;DR · Senior Business Intelligence Engineer

As a Senior, Business Intelligence Engineer on the GTM Data Science & Analytics team, you will advance the quality, reliability, and strategic value of Go-To-Market data. You will design and maintain robust business data models to enable trusted sales analytics, reporting, and AI capabilities while transitioning the organization from traditional BI toward automated systems. Your daily responsibilities include performing advanced data analysis to improve revenue operations, developing automated reconciliation checks, and creating compelling visualizations for diverse audiences. To succeed, you must possess expert SQL skills, experience with Tableau, and a software engineering mindset involving Git, CI/CD pipelines, and data observability. You will collaborate across Sales, Marketing, Finance, and Product teams to codify metrics. The role focuses on solving complex data consistency issues within the GTM domain using tools like dbt, Looker, and various AI products.

What you'll do

  • Design and maintain robust business data models to support Go-To-Market (GTM) analytics and AI capabilities.
  • Analyze large datasets using advanced techniques to provide actionable recommendations for revenue operations.
  • Develop automated data reconciliation and quality checks to ensure accuracy in critical reports and dashboards.
  • Create compelling visualizations to communicate complex data insights to a diverse audience of stakeholders.
  • Implement "BI-as-Code" by managing dashboards and semantic layers through Git, CI/CD pipelines, and automated testing.
  • Partner with Sales, Marketing, Finance, and Product teams to codify and reconcile critical business metrics.
  • Identify and implement improvements for data quality, reporting processes, and internal analytics tools.

What we're looking for

  • Minimum 5 years of professional experience in business intelligence, analytics engineering, data engineering, or a related discipline.
  • Experience with business intelligence platforms such as Tableau for executive reporting and sales analytics.
  • Advanced expertise in SQL and hands-on experience designing data models.
  • Proven track record of implementing robust data quality and testing frameworks, including CI/CD and data observability.
  • Strong technical communication and mentorship skills to convey complex concepts to various audiences.
  • Bachelor's or Master's degree in a quantitative discipline (preferred).
  • A software engineering mindset applied to data, including code reviews and environment separation (preferred).
  • Experience with code-based BI tools, Git version control, AI products, and GTM technology stacks (preferred).

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