Senior Business Intelligence Engineer

🕒 July 22

🇺🇸 United States – Remote

💵 $117k - $171.9k / year

⏰ Full Time

🟠 Senior

📊 Business Intelligence Developer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Twilio

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔌 API

🤝 B2B

API • B2B

Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.

📋 Description

• Advance the quality, reliability, and strategic value of Twilio’s Go-To-Market data • Design and maintain robust business data models for trusted sales analytics, reporting, data science, and AI capabilities • Analyze large datasets using advanced analytical techniques • Extract meaningful insights and provide actionable recommendations to improve revenue operations efficiency • Develop and maintain automated data reconciliation and quality checks • Identify and resolve data discrepancies in critical reports and dashboards • Create visualizations that communicate complex data insights to diverse audiences • Build and maintain data models supporting Go-To-Market decision-making • Automate the business intelligence ecosystem using dashboards and semantic layers as code • Use Git, automated testing frameworks, and CI/CD pipelines to create reproducible, version-controlled, scalable data infrastructure • Collaborate with Sales, Marketing, Finance, and Product teams • Improve data quality, reporting processes, and analytics tools • Support Twilio’s evolution from traditional business intelligence to AI

🎯 Requirements

• Minimum 5 years of professional experience in business intelligence, analytics engineering, data engineering, or a related discipline • Preference for direct experience supporting GTM or sales analytics in a SaaS environment • Experience with business intelligence platforms such as Tableau, particularly executive reporting and sales analytics • Advanced expertise in SQL and hands-on experience designing data models • Ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics • Experience implementing data quality and testing frameworks, including CI/CD and data observability • Strong technical communication and mentorship skills • Bachelor’s or Master’s degree in a quantitative discipline (desired) • Understanding of code reviews, automated testing, and Dev/Staging/Prod environment separation (desired) • Experience with code-based BI and semantic tools such as Looker/LookML, dbt, Cube.js, or Apache Superset (desired) • Strong proficiency with Git version control and CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins (desired) • Experience with AI products such as Claude, Cortex, Glean, or Gemini (desired) • Experience with GTM technology stacks such as Salesforce or Gong (desired) • Experience establishing data culture and best practices in a fast-paced technology organization (desired)

🏖️ Benefits

• Competitive pay • Generous time off • Ample parental and wellness leave • Healthcare insurance • Retirement savings program • 401(k) retirement account • Paid sick time • Paid personal time off • Paid parental leave • Potential eligibility for Twilio’s equity plan • Potential eligibility for corporate bonus plan • Occasional travel to project or team in-person meetings • Employee volunteering and donation support