Staff Business Intelligence Engineer

Twilio

Staff, Business Intelligence Engineer at Twilio enhancing go-to-market data for analytics and AI capabilities. Collaborate across teams to drive data consistency and actionable insights for strategic decisions.

Posted 7/22/2026full-timeRemote • California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Pennsylvania, Vermont, Washington • 🇺🇸 United StatesLead💰 $141,520 - $208,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in Business Intelligence and Analytics Engineering, with a strong focus on SQL, Data Modeling, and Automation of Reporting Processes. Proven ability to enhance Data Quality and provide actionable insights to support Go-To-Market strategies in a SaaS environment.

Highest-signal resume keywords

Business Intelligence PlatformsSQL ExpertiseData ModelingCI/CD ImplementationData Quality Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ReconciliationAutomated TestingData VisualizationData Insights ExtractionAnalytics ToolsRevenue Operations EfficiencyGTM SupportSales AnalyticsData Observability

Soft Skills

Technical CommunicationMentorshipCross-Functional Collaboration

Tools & Technologies

TableauGitCI/CD PipelinesBusiness Intelligence Ecosystem

Industry Keywords

SaaSExecutive ReportingSales AnalyticsData QualityAnalytics Engineering

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

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 using Git, automated testing frameworks, and CI/CD pipelines.
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

What you’ll need

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.

Benefits

Comp & perks

competitive pay
generous time off
ample parental and wellness leave
healthcare
a retirement savings program
may participate in Twilio’s equity plan and corporate bonus plan
health care insurance
401(k) retirement account
paid sick time
paid personal time off
paid parental leave