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Hotel Engine

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

Senior Product Analyst, Omni

Product AnalystProduct AnalystFull TimeRemoteSeniorTeam 201-500Since 2018H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

4 days ago

Salary

$114.7K - $158.7K / year

Seniority

Senior

Bachelor Degree4 yrs expEnglishSQLSwift

Job Description

Senior Product Analyst, Omni

Hotel Engine

• Design, run, and analyze A/B tests and product experiments across the Omni funnel — from hypothesis definition and instrumentation validation through results analysis and recommendation. • Proactively surface insights to product managers: anomalies in booking behavior, partner conversion degradation, funnel drop-offs, and pricing patterns that signal an opportunity — before anyone asks. • Own deep visibility into the Omni search-to-booking funnel; identify where and why partners and travelers drop off, model the impact of product changes on conversion, and connect funnel performance to revenue outcomes. • Build and maintain analytics that track partner performance across Omni Swift and Halo — activation rates, booking volume, revenue share, API health, and feature adoption. • Analyze how real-time pricing, inventory availability, and AI-driven pricing signals affect search quality, conversion, and revenue; surface patterns that inform pricing strategy and product decisions. • Monitor and analyze API and product health metrics — latency, search response quality, error rates, content deduplication effectiveness — and translate technical signals into product and business implications. • Partner closely with Omni PMs as an embedded analytical resource: contribute to PRDs with data, challenge assumptions with analysis, and ensure the analytical voice is present in every product decision and roadmap prioritization. • Leverage advanced SQL to explore large, complex datasets — booking events, search logs, pricing signals, and partner activity — and uncover key insights at scale. • Independently investigate open-ended product and business questions; identify patterns, quantify opportunities, and deliver actionable recommendations to product and senior leadership. • Identify instrumentation gaps and partner with engineering to ensure the right events are captured; collaborate with analytics engineering to build clean, reusable data models that enable self-service analysis across the team.

Job Requirements

  • Bachelor's degree in Data, Economics, Statistics, Computer Science, Operations Research, or a related quantitative field.
  • 4+ years of relevant experience in product analytics or data analytics, with meaningful time spent embedded in a product or engineering org.
  • Strong SQL skills with experience building complex queries across large datasets; hands-on experience with Snowflake.
  • Experience with HEX or a comparable collaborative notebook environment for analysis and stakeholder delivery.
  • Solid grounding in experiment design and statistical analysis — A/B testing, power analysis, significance testing, and awareness of common pitfalls like novelty effects and sample ratio mismatch.
  • Experience analyzing conversion funnels, user journeys, and event-based behavioral data; comfortable thinking in cohorts, sessions, and sequences.
  • Strong communication skills with the ability to translate complex analytical findings into clear, actionable perspectives for PMs and product leadership.
  • Inquisitive mindset with a bias toward proactive investigation — you dig into the 'why' behind performance trends without being prompted.
  • Experience with a B2B API product, developer platform, marketplace, or technical product where the end user is a partner or business is a plus.
  • Familiarity with dbt or experience working closely with analytics engineering teams to build reusable 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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