Senior Data Analyst - Layla AI

Expedia•Seattle, WA

About The Position

Layla is an AI-native travel-planning and booking company, now part of Expedia Group’s Product organization. Through a conversational travel assistant, Layla helps travelers move from inspiration to a complete, bookable itinerary — flights, hotels, activities, and the day-by-day detail — in minutes. As part of Expedia Group, the team combines Layla’s planning and personalization capabilities with Expedia Group’s global supply, first-party traveler insights, marketplace scale, and booking technology. The team is small and senior by design and operates with startup pace: you own a surface, ship it, and see the impact on real travelers within weeks — with decisions driven by data and AI tooling used in practice every day. As a Senior Data Analyst, you will help steer Layla off its numbers — defining trusted metrics, running product analytics and experiments, and turning traveler behavior into clear insights that shape what the team builds next.

Requirements

Bachelor’s degree in a quantitative or related field; or equivalent related professional experience.
Proven senior-level experience as a data or product analyst.
Advanced SQL and strong data-analysis skills, including the ability to define and defend metrics.
Experience with product analytics and experimentation (A/B testing) at a consumer product.
Demonstrated ability to turn analysis into clear, actionable insights and recommendations for non-technical partners.
Familiarity with AI-driven tools or workflows and applying data/AI concepts to real-world products responsibly.

Nice To Haves

Proficiency with Python (or R) for analysis.
Experience with a modern analytics stack (for example, dbt, a cloud warehouse such as BigQuery or Snowflake, and BI tools such as Looker or Metabase).
Experience with marketing/acquisition analytics and attribution modeling, including an understanding of its limitations.
Experience analyzing traveler, marketplace, or e-commerce behavior.
Experience using AI-assisted tools (for example, Claude or similar) or integrating AI/ML insights to improve productivity and quality.
Experience helping build an analytics function or standards from scratch.

Responsibilities

Define and maintain trusted metrics and definitions across Layla and Bellboy, giving the team a shared, reliable view of how the product is performing.
Run product analytics — funnels, cohorts, retention, and traveler behavior — and turn the findings into clear insights that inform prioritization.
Design and analyze experiments (A/B tests), delivering honest, timely readouts the product team can act on.
Build and maintain dashboards and self-serve reporting so most questions can be answered quickly and consistently.
Partner closely with Product, Marketing, and engineering to frame questions, size opportunities, and measure impact.
Communicate findings with clear storytelling — turning numbers into a decision or recommendation.