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Data ScienceRemote

Revenue Intelligence Engineer

Greenhouse - Company

US, ๐Ÿ‡บ๐Ÿ‡ธ United StatesFull-time - Mid level (2-4 years)0 applicantsCloses Jul 3, 2026

Salary

USD 128,300 - 180,000 / year

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Job description

Job details

  • Location: US
  • Work mode: Remote
  • Employment type: Full-time (Not an internship)
  • Salary: USD 128,300 - 180,000 per year

Role overview

Greenhouse is hiring a Revenue Intelligence Engineer to join their mission of making hiring work for everyone. This Full-time role is based in the US and offers a competitive salary range of 128,300to128,300 to 180,000 USD. The position focuses on building and maintaining revenue analytics systems that drive data-informed decision-making across the organization.

Job details

This is a Full-time position located in the US with Remote work flexibility. The Revenue Intelligence Engineer will work with cross-functional teams to develop sophisticated revenue tracking, forecasting, and reporting solutions. Greenhouse fosters a collaborative, inclusive environment where engineers solve meaningful problems with remarkable teams while advancing their careers.

Responsibilities

  • Build and maintain revenue analytics pipelines and data models
  • Develop automated reporting systems for sales and revenue forecasting
  • Collaborate with sales and finance teams to define key metrics
  • Design dashboards and visualizations for executive decision-making
  • Optimize data infrastructure for revenue intelligence workflows

Requirements

  • 2-4 years of experience in analytics engineering or business intelligence
  • Strong SQL skills and experience with data warehousing
  • Proficiency in BI tools such as Tableau, Looker, or Power BI
  • Understanding of SaaS revenue metrics and sales operations
  • Excellent communication skills to work with non-technical stakeholders

Benefits

  • Competitive salary: $128,300 - $180,000 USD
  • Remote work flexibility
  • Collaborative and inclusive team culture
  • Opportunity to solve meaningful problems

Keywords

revenue intelligencedata analyticsSQLbusiness intelligenceETLreportingforecastingSaaS metrics