Jobs / United States / Engine LLC

Engine LLC

Staff Data Analyst, Engine X

Remote - US · Remote · US only Posted 18 days ago

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Skills this job asks for

LeadershipSQLSnowflakeStatistics

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Where you can work from

United States only

Based on the listing's location: Remote - US.

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
USCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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. • 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

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