Staff Data Analyst, Engine X at Engine

Job description

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 Engine recognition as TravelTech's Reservation Platform of the Year (2026), a spot on Inc.'s Power Partners list (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 Staff Product Data Analyst to join the Engine X team. Engine X is Engine's corporate charge card — the first financial product Engine has launched and the first card built specifically on Engine's own supply relationships, pricing intelligence, and travel infrastructure. Data is a core competency of Engine, and the Engine X team runs on it. In this role, you will be the analytical execution layer for a product that generates card transaction data, rewards activity, activation events, spend category breakdowns, and booking behavior at increasing volume. Your job is to make sure the team has accurate, well-structured, and timely analytical output, reliable dashboards, clean reporting frameworks, and clearly communicated findings, so that product managers, finance, and leadership can make decisions with confidence. What You'll Do Build, maintain, and improve Engine X's core performance dashboards; covering card activation rates, spend volume, gross booking value, rewards utilization, spend category breakdowns, and cardholder retention. Track and report on key Engine X metrics on a regular cadence, ensuring stakeholders across product, finance, and leadership have accurate and timely visibility into card performance. Investigate data anomalies and surface findings clearly; when a metric moves unexpectedly, you diagnose it, document what you found, and communicate it before it becomes a question someone else is asking. Write and maintain complex SQL queries to extract, clean, and aggregate data from Snowflake across card transaction logs, booking activity, rewards ledger data, and cardholder activation events. Build and document reusable data models and reporting assets that the team can rely on — well-structured, well-named, and built to last beyond the person who created them. Support A/B tests and product experiments by setting up the analytical framework, pulling results accurately, and presenting findings in a format that informs a clear decision. Partner with senior analysts and product managers to scope analytical requests, understand what's being asked, and deliver work that's precise, complete, and ready to act on. Collaborate with analytics engineering and data engineering to flag data quality issues, validate pipeline outputs, and ensure the underlying data powering Engine X reporting is reliable. Develop and maintain clear documentation for the metrics and models you own, definitions, logic, known limitations, and refresh cadences, so the team always knows what the numbers mean. What We're Looking For Bachelor's degree in Data, Economics, Statistics, Computer Science, Finance, or a related quantitative field. 7+ years of relevant experience in data analytics or a closely related analytical function, with demonstrated ability to produce clean, accurate, and well-structured analytical work. Solid SQL skills with experience writing complex queries — joins, aggregations, window functions — on large datasets; hands-on experience with Snowflake. Experience building and maintaining dashboards or reporting frameworks using HEX, Looker, Tableau, or a comparable BI tool. Attention to detail and a strong sense of ownership over the accuracy of your own work — you check your numbers, document your logic, and flag issues before they propagate. Clear written and verbal communication skills; able to present findings in a structured, easy-to-interpret format for non-technical stakeholders. Familiarity with A/B testing and experiment analysis — comfortable pulling results and applying basic statistical reasoning to interpret them correctly. Curiosity about the product and business context behind the data — you want to understand what you're measuring and why it matters, not just how to pull it. Experience in fintech, payments, card products, or financial services analytics is a plus. Familiarity with dbt or experience working alongside analytics engineering teams to understand and leverage data models is a plus. Why Join Us Work on Engine's newest and fastest-growing product, at the intersection of travel, fintech, and spend management — with real GBV and revenue targets and a clear competitive position. Develop your craft in a structured analytical environment with strong senior mentorship, clear expectations, and meaningful ownership over the metrics that drive the business. Be part of a data-driven culture at a company on an exceptional growth trajectory, with the opportunity to grow as Engine X scales. 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 $137,275 — $190,000 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 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

Requirements

Must-haves

Build, maintain, and improve Engine X's core performance dashboards; covering card activation rates, spend volume, gross booking value, rewards utilization, spend category breakdowns, and cardholder retention.
Track and report on key Engine X metrics on a regular cadence, ensuring stakeholders across product, finance, and leadership have accurate and timely visibility into card performance.
Investigate data anomalies and surface findings clearly; when a metric moves unexpectedly, you diagnose it, document what you found, and communicate it before it becomes a question someone else is asking.
Write and maintain complex SQL queries to extract, clean, and aggregate data from Snowflake across card transaction logs, booking activity, rewards ledger data, and cardholder activation events.
Build and document reusable data models and reporting assets that the team can rely on — well-structured, well-named, and built to last beyond the person who created them.
Support A/B tests and product experiments by setting up the analytical framework, pulling results accurately, and presenting findings in a format that informs a clear decision.
Partner with senior analysts and product managers to scope analytical requests, understand what's being asked, and deliver work that's precise, complete, and ready to act on.
Collaborate with analytics engineering and data engineering to flag data quality issues, validate pipeline outputs, and ensure the underlying data powering Engine X reporting is reliable.
Develop and maintain clear documentation for the metrics and models you own, definitions, logic, known limitations, and refresh cadences, so the team always knows what the numbers mean.
Bachelor's degree in Data, Economics, Statistics, Computer Science, Finance, or a related quantitative field.
7+ years of relevant experience in data analytics or a closely related analytical function, with demonstrated ability to produce clean, accurate, and well-structured analytical work.
Solid SQL skills with experience writing complex queries — joins, aggregations, window functions — on large datasets; hands-on experience with Snowflake.
Experience building and maintaining dashboards or reporting frameworks using HEX, Looker, Tableau, or a comparable BI tool.
Attention to detail and a strong sense of ownership over the accuracy of your own work — you check your numbers, document your logic, and flag issues before they propagate.
Clear written and verbal communication skills; able to present findings in a structured, easy-to-interpret format for non-technical stakeholders.
Familiarity with A/B testing and experiment analysis — comfortable pulling results and applying basic statistical reasoning to interpret them correctly.
Curiosity about the product and business context behind the data — you want to understand what you're measuring and why it matters, not just how to pull it.

Nice-to-haves

Experience in fintech, payments, card products, or financial services analytics is a plus.
Familiarity with dbt or experience working alongside analytics engineering teams to understand and leverage data models is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisql

Platform: greenhouse
Effort: quick