Sr. Product Analyst, Omni

About the role

We are seeking a Senior Product Data Analyst to join the Omni product team. Omni is Engine's hotel booking infrastructure product, built for external companies that want to embed hotel booking directly into their own platform. It delivers Engine's full inventory, pricing, payments, and support through two integration paths: Omni Swift, a low-code hosted storefront that gets partners live in days, and Omni Halo, a full API for companies that want to own the complete booking journey from search to payment.

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.

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.

Qualifications

• 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

Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.

Benefits: Check out our full list at engine.com/culture.

Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a 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.