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Twilio
Twilio

Staff, Business Intelligence Engineer, GTM Data Science & Analytics

RemoteUnited States only
Published
Role
Data Engineering
Experience
Staff
$141.5k–$176.9k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff Business Intelligence Engineer with 8+ years of experience in BI, analytics, or data engineering, preferably supporting GTM or sales analytics in a SaaS environment. Requires advanced SQL, data modeling, and experience with BI platforms like Tableau, CI/CD, and data observability. This remote role is based in the US, with specific state exclusions for hiring.

Core skills

SQLTableaudata modeling

Required skills

CI/CDGitautomated testing frameworksdata observability

Optional skills

LookerLookMLdbtCube.jsApache SupersetGitHub ActionsGitLab CIJenkins

What you'll do

  • 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. You will 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

What they require

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

Benefits

  • competitive pay
  • generous time off
  • ample parental and wellness leave
  • healthcare
  • a retirement savings program
  • equity plan (eligible)
  • corporate bonus plan (eligible)
  • health care insurance
  • 401(k) retirement account
  • paid sick time
  • paid personal time off
  • paid parental leave

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What people say about this company

3.6/ 5

$141.5k–$176.9k/yr