<div class="content-intro"><h3><strong>About Engine</strong></h3> <p>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.<br><br>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).<br><br>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.<br><br>Come outpace the ordinary and build the future of travel with us.</p></div><p><span style="font-size: 14pt;"><strong>Your Mission</strong></span></p> <p>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.</p> <p>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.</p> <h2><span style="font-size: 14pt;"><strong>What You'll Do</strong></span></h2> <ul> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> </ul> <h2><span style="font-size: 14pt;"><strong>What We're Looking For</strong></span></h2> <ul> <li>Bachelor's degree in Data, Economics, Statistics, Computer Science, Finance, or a related quantitative field.</li> <li>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.</li> <li>Solid SQL skills with experience writing complex queries — joins, aggregations, window functions — on large datasets; hands-on experience with Snowflake.</li> <li>Experience building and maintaining dashboards or reporting frameworks using HEX, Looker, Tableau, or a comparable BI tool.</li> <li>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.</li> <li>Clear written and verbal communication skills; able to present findings in a structured, easy-to-interpret format for non-technical stakeholders.</li> <li>Familiarity with A/B testing and experiment analysis — comfortable pulling results and applying basic statistical reasoning to interpret them correctly.</li> <li>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.</li> <li>Experience in fintech, payments, card products, or financial services analytics is a plus.</li> <li>Familiarity with dbt or experience working alongside analytics engineering teams to understand and leverage data models is a plus.</li> </ul> <h2><span style="font-size: 14pt;"><strong>Why Join Us</strong></span&