New

Revenue Operations Analyst

Remote - USA

Join Our Journey at Engine

At Engine, we’re revolutionizing work travel. Our modern travel platform isn’t just about booking trips; it’s about transforming how businesses and their teams experience travel. From seamless booking options with top airlines, hotels, and car rental providers to single-invoice billing and flexible trip modifications, we make travel not only easier to manage but also enjoyable. Backed by powerhouse investors like Telescope Partners, Blackstone, Elefund, and Permira, we’re growing fast—and we want you to be part of it.

Your Mission:

As part of the Engine team, you’ll play a vital role in an environment where innovation meets collaboration. Here’s what you’ll take charge of:

  • Create compelling data visualizations and dashboards that tell the story behind our supply metrics
  • Analyze data to identify trends, opportunities, and areas for improvement
  • Develop and monitor KPIs for supply partner performance, acquisition, and retention
  • Deliver regular reporting and ad-hoc analysis to help leadership make informed decisions
  • Provide data-driven recommendations to optimize partner onboarding, engagement, and performance
  • Develop models for scenario analysis on key initiatives to inform high-impact business decisions
  • Create clear documentation of metrics definitions and calculation methodologies
  • Collaborate with engineering teams to troubleshoot data pipeline issues
  • Work cross-functionally with product, engineering, and business teams to ensure data systems meet evolving needs
  • Document data flows and models to ensure knowledge sharing across the organization

What You’ll Bring to Engine:
We’re looking for someone who’s ready to make an impact and grow alongside us:

  • 4+ years of experience in data analysis, business intelligence, or related field
  • Strong SQL skills and experience with BI tools (Looker preferred)
  • Knowledge of modern data stack technologies (Snowflake, Airflow, etc.)
  • Experience with cohort analysis, customer segmentation, forecasting, and account scoring
  • Excellent communication skills with ability to translate complex data into actionable insights
  • Experience working with business stakeholders to understand requirements and deliver solution
  • Preferred: Basic understanding of ETL processes and experience building simple data pipelines; knowledge of Python or another programming language for data manipulation

The Ideal Candidate

  • Is passionate about creating seamless experiences through data
  • Can balance tactical implementations with strategic, long-term thinking
  • Thrives in a fast-paced environment with evolving requirements

#LI-MH1

Applications for this role will be accepted through December 16th, 2025 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline.

Compensation
Our compensation packages are based on several factors, including your experience and expertise. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process.

Base Pay Range

$85,000 - $105,000 USD

The Engine Edge: Perks & Compensation
We believe in rewarding great work with great benefits:

  • Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
  • Benefits: Check out our full list at engine.com/culture.
  • Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed.

Perks and benefits may vary based on employment type, location, and more.

Ready to Build the Future of Work Travel?
Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.

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