Note: The job is a remote job and is open to candidates in USA. Engine is transforming business travel into a personalized and seamless experience. They are seeking a Senior Product Data Analyst to join the Omni product team, focusing on analyzing data to drive product decisions and improve the hotel booking infrastructure.
Responsibilities
- 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
Skills
- 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
- Opportunities for bonuses, commissions, and equity
- Check out our full list at[engine.com/culture](http://engine.com/culture).
- Hybrid-hub model
- Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed.
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