Sr. Product Analyst, Omni Engine · Remote · US · Data Analysis & BI $114,665–$158,700 3mo ago

Dataroles; Northern (KY); Ibrido; USD 115.000 - 159.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Hybrid work model

Remote-friendly

Descrizione del lavoro

Engine is seeking a Senior Product Data Analyst for the Omni product team. You will work with product managers, engineers, and designers to shape Omni's evolution, conducting experiments and translating complex data into actionable product decisions.

You will own deep funnel analytics, surface pricing and revenue insights, and influence prioritization with data-driven recommendations across a global platform.

Competenze

• Bachelor's degree in a quantitative field.
• 4+ years in product or data analytics embedded in product/engineering.
• Strong SQL skills and experience with large datasets.

Mansioni

• Design, run, and analyze A/B tests and product experiments across the Omni funnel.
• Surface insights to product managers before requests; surface anomalies and opportunities.
• Own visibility into the Omni search-to-booking funnel and model impact of changes.

Conoscenze

SQL

Experiment design

Statistics

Data analysis

Cross-functional collaboration

Communication

B2B/API product understanding

Formazione

Bachelor's degree in Data/ Economics/ Statistics/ CS

Strumenti

Snowflake

dbt

HEX notebooks

Descrizione del lavoro

About Engine

Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 40,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents.

That work has earned recognition as one of Fast Company's Best Workplaces for Innovators (2025), TravelTech's Reservation Platform of the Year (2026), and one of Built In's Best Places to Work (2020–2026).

We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar.

Come outpace the ordinary and build the future of travel with us.

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 1M+ properties across 185+ countries and 30M+ hotel nights already processed on Engine's underlying infrastructure, the data layer here is genuinely rich and complex.

Data is a core competency of Engine, and this role sits at the intersection of product development and analytical rigor. You will be embedded directly in the Omni product org, working alongside product managers, engineers, and designers to shape how Omni evolves. This is a high-autonomy role for someone who doesn't wait to be asked, you'll bring insights to the table before anyone thinks to request them, design and run experiments that validate product bets, and translate booking-scale data into decisions the team can act on.

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 1M+ properties and 30M+ 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, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. 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 We believe in rewarding great work with great benefits:

• Compensation: Competitive base pay tied to role and experience, with equity for all employees. Some roles are also eligible for bonuses or commissions.
• 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.

Perks and benefits may vary based on employment type, location, and more