Senior Product Analyst, Omni

Role Overview

• 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.
• 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.

Tech Stack

• SQL
• Swift

Benefits

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