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Sr. Data Analyst - Finance
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2h ago
The date the source published, not the day we noticed it (2026-10-12). Last seen at its source 1h ago.
Is it remote?
Remote - US
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$131.5k–154.7k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 1h ago · last seen 1h ago
The listing
About Engine
Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 40,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents.
That work has earned recognition as one of Fast Company's Best Workplaces for Innovators (2025), TravelTech's Reservation Platform of the Year (2026), and one of Built In's Best Places to Work (2020–2026).
We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar.
Come outpace the ordinary and build the future of travel with us.
Your Mission
We are seeking a Senior Data Analyst to join our growing team. Data is a core competency of Engine, and the team’s mission is to leverage our data assets, advanced analytics, and machine learning to deliver product and business value across the organization. Our overarching company goals include revenue growth, enhancing member experience, and ensuring scalability.
What You'll Do
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Partner with stakeholders across product, engineering, and design to lead metrics definition, reporting, and analyses.
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Lead key analytics projects and derive actionable insights to drive better product and business performance.
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Design and build statistical analyses to answer specific business questions and power key product functionalities.
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Participate in product and growth experiments.
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Build and maintain data pipelines to generate and track relevant product and business metrics.
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Collaborate with data engineers to establish data assets and feature stores for process automation, advanced analytics, and machine learning models.
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Manage the company’s business intelligence reporting dashboards.
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Leverage advanced SQL skills to explore large, complex datasets and uncover key insights related to pricing and business performance.
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Independently investigate open-ended business questions; identify patterns, quantify opportunities, and deliver actionable recommendations that inform strategic pricing decisions.
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Translate complex and nuanced analytical findings into clear, concise insights for senior leadership, with a strong focus on aligning recommendations with business goals.
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Demonstrate ownership and depth in analysis — moving beyond surface-level metrics to uncover the "why" behind performance trends and deliver high-impact insights.
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Partner cross-functionally with product, pricing, and engineering teams to scope analytical needs and validate hypotheses with rigorous data-driven approaches.
What We're Looking For
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Bachelor’s degree in Data, Economics, Statistics, Operations Research, or a related quantitative field.
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5+ years of relevant work experience as a Data or Business Analyst with a proven track record of manipulating and extracting value from datasets.
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Experience building complex SQL queries.
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Strong fundamentals in statistics and econometrics (e.g., regressions, hypothesis testing).
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Excellent communication skills with the ability to distill complex issues and analyses.
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Experience with Looker, Snowflake, and Amplitude is a plus.
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Inquisitive mindset with a desire to dig deeper to understand the "why" behind our data.
Why Join Us
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Be part of a data-driven culture that values innovation and continuous improvement.
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Work with cross-functional teams to shape the future of our product and business.
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Enjoy opportunities for growth, learning, and meaningful impact across the organization.
If this sounds like your next challenge, we’d love to hear from you!
Applications for this role will be accepted through 12/31/2026 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, expertise, and location. In addition to a competitive base salary, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. Your recruiter will share your complete compensation package as you move through the process.
The Engine Edge: Perks & Compensation
We believe in rewarding great work with great benefits:
- Compensation: Competitive base pay tied to role and experience, with equity for all employees. Some roles are also eligible for bonuses or commissions.
- 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