# Staff, Business Intelligence Engineer

**Company:** [Twilio](https://hotfix.jobs/companies/twilio)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $142k – $208k/yr
**Experience:** 8+ years
**Skills:** SQL, Tableau, Git, CI/CD, Looker, lookml, dbt, Salesforce, Gong, Python, Data Modeling, Data Visualization
**Posted:** 2026-07-22

> Staff Business Intelligence Engineer building and automating GTM data models, quality frameworks, and BI-as-code pipelines (Git/CI/CD) to power sales analytics, reporting, and AI at Twilio. Requires 8+ years in BI/analytics engineering, advanced SQL, Tableau, and cross-functional metric alignment in SaaS.

## Job Description

## Responsibilities
- Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency.
- Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards.
- Create compelling visualizations to effectively communicate complex data insights, making information accessible and actionable for a diverse audience.
- Build and maintain data models to support GTM, helping the organization make informed strategic decisions.
- Drive the automation of our business intelligence ecosystem by treating dashboards and semantic layers as code. Leverage Git, automated testing frameworks, and CI/CD pipelines to ensure our data infrastructure is reproducible, version-controlled, and highly scalable.
- Work closely with various teams, including Sales, Marketing, Finance, and Product, to understand business requirements and provide analytical support.
- Identify opportunities to enhance data quality, reporting processes, and analytics tools to drive continuous improvement in data analysis capabilities.

## Requirements
- Minimum 8 years of professional experience in business intelligence, analytics engineering, data engineering, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment.
- Experience with business intelligence platforms such as Tableau, particularly in the context of executive reporting and sales analytics.
- Advanced expertise in SQL and hands-on experience designing data models.
- 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 CI/CD and data observability.
- Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences.

## Nice-to-Haves
- Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics, Economics).
- A software engineering mindset applied to data - understanding code reviews, automated testing, and environment separation (Dev/Staging/Prod).
- Experience with code-based BI and semantic tools to orchestrate data pipelines (e.g., Looker/LookML, dbt, Cube.js, or Apache Superset).
- Strong proficiency with Git version control and CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins).
- Experience with AI products such as Claude, Cortex, Glean, Gemini.
- Experience with GTM technology stacks (e.g., Salesforce, Gong, etc).
- Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization.

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