Sr. Data Analyst - Finance

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.

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.

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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.

• Bachelor’s degree in Data, Economics, Statistics, Operations Research, or a related quantitative field.

• 5+ years of relevant work experience as a Data or Business Analyst with a proven track record of manipulating and extracting value from datasets.

• Experience building complex SQL queries.

• Strong fundamentals in statistics and econometrics (e.g., regressions, hypothesis testing).

• Excellent communication skills with the ability to distill complex issues and analyses.

• Experience with Looker, Snowflake, and Amplitude is a plus.

• Inquisitive mindset with a desire to dig deeper to understand the "why" behind our data.