Senior Product Analyst, Omni

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, execute, and evaluate A/B tests and product experiments throughout the Omni funnel — encompassing hypothesis formulation, validation of instrumentation, results analysis, and recommendations.

• Actively highlight insights for product managers regarding anomalies in booking behavior, partner conversion declines, funnel drop-offs, and pricing trends that indicate opportunities — even before being asked.

• Maintain comprehensive visibility into the Omni search-to-booking funnel; pinpoint reasons for partner and traveler drop-offs, assess the effects of product modifications on conversion, and link funnel performance to revenue results.

• Develop and sustain analytics that monitor partner performance across Omni Swift and Halo — including activation rates, booking volumes, revenue shares, API health, and feature adoption.

• Examine how real-time pricing, inventory availability, and AI-driven pricing signals impact search quality, conversion rates, and revenue; reveal patterns that guide pricing strategy and product decisions.

• Track and evaluate API and product health metrics — such as latency, search response quality, error rates, and content deduplication effectiveness — and interpret technical signals into product and business implications.

• Collaborate closely with Omni PMs as an integrated analytical resource: contribute data to PRDs, challenge assumptions with analyses, and ensure that analytical perspectives are included in all product decisions and roadmap prioritization.

• Utilize advanced SQL to analyze large, intricate datasets — including booking events, search logs, pricing signals, and partner activities — to extract essential insights at scale.

• Conduct independent investigations into open-ended product and business inquiries; identify trends, quantify opportunities, and provide actionable recommendations to product and senior leadership.

• Discover instrumentation gaps and work with engineering to ensure the appropriate events are recorded; team up with analytics engineering to create clean, reusable data models that facilitate self-service analysis across the team.

⛳️ Requirements

• A Bachelor's degree in Data, Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline.

• Over 4 years of pertinent experience in product analytics or data analytics, with significant time spent within a product or engineering organization.

• Proficient SQL skills with experience in creating complex queries across large datasets; practical experience with Snowflake.

• Familiarity with HEX or a similar collaborative notebook environment for conducting analysis and delivering to stakeholders.

• A solid foundation in experimental design and statistical analysis — including A/B testing, power analysis, significance testing, and awareness of common pitfalls such as novelty effects and sample ratio mismatch.

• Experience in analyzing conversion funnels, user journeys, and event-based behavioral data; comfortable thinking in terms of cohorts, sessions, and sequences.

• Excellent communication abilities to translate intricate analytical findings into clear, actionable insights for PMs and product leadership.

• An inquisitive mindset with a proactive approach to investigation — you explore the 'why' behind performance trends without prompting.

• Experience with a B2B API product, developer platform, marketplace, or technical product where the end user is a partner or business is advantageous.

• Familiarity with dbt or experience collaborating closely with analytics engineering teams to develop reusable data models is a plus.

🏝️ Benefits

• Competitive base salary aligned with the role and experience, along with opportunities for bonuses, commissions, and equity.

• Check out our full list at engine.com/culture.