Staff Data Analyst, Engine X

About Engine

Engine is the all-in-one travel and spend management platform trusted by 38K+ businesses and groups representing 1.8M+ travelers. We're the retailer and the rails of business travel, one of the fastest-growing companies in travel tech, built on a decade of proprietary technology, supply, and pricing no one else can replicate. Other travel and AI companies run on our infrastructure to book real trips, hold rates, and move payments, without building any of it themselves. We built it, AI-forward at every layer, from how travelers book to how the rails run. 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 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.