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Hotel Engine

Innovating business travel with a free-to-use hotel booking platform.

Staff Data Analyst

Data AnalystData AnalystFull TimeRemoteLeadTeam 201-500Since 2018H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

$137.3K - $190K / year

Seniority

Lead

Bachelor Degree7 yrs expEnglishSQLTableau

Job Description

Staff Data Analyst

Hotel Engine

• 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.

Job Requirements

  • 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.

Benefits

  • Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
  • Check out our full list at engine.com/culture.

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