Data Analyst

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 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.