Sr. Data Analyst - Finance

Posted 5 Hours Ago
Easy Apply
Hiring Remotely in United States
Remote
132K-155K Annually
Senior level
Artificial Intelligence • Fintech • Software • Travel
Engine is the AI-native platform for intelligent travel.
The Role
The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.
Summary Generated by Built In
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
  • Partner with stakeholders across product, engineering, and design to lead metrics definition, reporting, and analyses.

  • Lead key analytics projects and derive actionable insights to drive better product and business performance.

  • Design and build statistical analyses to answer specific business questions and power key product functionalities.

  • Participate in product and growth experiments.

  • Build and maintain data pipelines to generate and track relevant product and business metrics.

  • Collaborate with data engineers to establish data assets and feature stores for process automation, advanced analytics, and machine learning models.

  • Manage the company’s business intelligence reporting dashboards.

  • Leverage advanced SQL skills to explore large, complex datasets and uncover key insights related to pricing and business performance.

  • Independently investigate open-ended business questions; identify patterns, quantify opportunities, and deliver actionable recommendations that inform strategic pricing decisions.

  • Translate complex and nuanced analytical findings into clear, concise insights for senior leadership, with a strong focus on aligning recommendations with business goals.

  • Demonstrate ownership and depth in analysis — moving beyond surface-level metrics to uncover the "why" behind performance trends and deliver high-impact insights.

  • 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
  • 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.

Why Join Us
  • Be part of a data-driven culture that values innovation and continuous improvement.

  • Work with cross-functional teams to shape the future of our product and business.

  • 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.

Base Pay Range
$131,500—$154,700 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 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

Skills Required

  • Bachelor’s degree in Data, Economics, Statistics, Operations Research, or a related quantitative field
  • 5+ years of relevant experience as a Data Analyst or Business Analyst
  • Experience building complex SQL queries
  • Strong fundamentals in statistics and econometrics, including regression and hypothesis testing
  • Excellent communication skills and ability to distill complex analyses
  • Experience with Looker
  • Experience with Snowflake
  • Experience with Amplitude

What the Team is Saying

Danielle G.
Jacob T.
Lyndsey K.
Eliana S.
Ben G,

Engine Compensation & Benefits Highlights

  • Leave & Time Off Breadth — Unlimited PTO is frequently highlighted alongside paid volunteer time and family leave, and is seen as a major perk for flexibility and balance. Feedback suggests time-off policies are a standout element of the package.
  • Equity Value & Accessibility — Stock options are made broadly accessible to full-time employees and are positioned as a meaningful part of total compensation. This ownership component is repeatedly cited as a core strength of the package.
  • Healthcare Strength — Medical, dental, and vision coverage is consistently described as comprehensive, with mental-health/EAP resources and HSA/FSA options also noted. Feedback suggests the overall health-and-wellness offering is robust on paper.

Engine Insights

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The Company
HQ: Denver, CO
1,000 Employees
Year Founded: 2018

What We Do

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 40,000 customers and 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. Engine has been recognized as one of Fast Company's Best Workplaces for Innovators (2025), named TravelTech's Reservation Platform of the Year (2026), and one of Built In's Best Places to Work (2020–2026).

Why Work With Us

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.

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Engine Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We're remote-centric, not remote-only. With four offices across the US and our investment in regular team onsites, we make sure our people stay connected in person – fueling collaboration, creativity, and shared momentum.

Typical time on-site: Not Specified
Company Office Image
HQDenver, CO
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Chicago, Illinois
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New York, NY
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Tempe, AZ
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