Sr. Product Analyst, Omni

About Engine At Engine, we're transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we're here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That's why we're building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place. Over 30,000 companies rely on Engine to support more than 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine–only rates, industry‑leading rewards, and intelligent automation to help businesses save money while delivering world‑class personalization and convenience. Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest‑growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In’s Best Places to Work. Your Mission 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. With 1 M+ properties across 185+ countries and 30 M+ hotel nights already processed on Engine’s underlying infrastructure, the data layer here is genuinely rich and complex. What You’ll Do 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. What We’re Looking For 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. Why Join Us Work on a genuinely complex data problem — booking events, pricing signals, API performance, and partner behavior at scale across 1 M+ properties and 30 M+ hotel nights processed. Be embedded in a product team where your analysis directly shapes the roadmap — not just reports on it. Join a data‑driven culture that values curiosity, ownership, and continuous improvement, with real opportunities for growth and impact. Compensation Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process. Base Pay Range:

$114,665—$158,700 USD

The Engine Edge: Perks & Compensation 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; that’s 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. Perks and benefits may vary based on employment type, location, and more. Ready to Build the Future of Work Travel? Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together. #J-18808-Ljbffr Engine