Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

At Expedia Group, we are passionate about using data and analytics to create an amazing travel experience and bring the world within reach.

We are looking for an exceptional individual to join the Expedia Marketing Analytics team. In this role, you will design and execute measurement frameworks and experimentation to evaluate marketing effectiveness, generating insights that directly inform marketing strategy, investment decisions, and performance optimization.

Your work will help ensure our marketing investments are guided by robust evidence, enabling the business to drive sustainable growth and maximize return on marketing spend. This is an opportunity to be part of a fun, exciting, and data-driven company where analytics plays a critical role in shaping business outcomes.
Your primary focus will be to connect advanced analytics and data science with real business decisions, working on high-impact measurement challenges to help the organization understand the true incremental value of marketing and guide multi-million dollar investment strategies. You will also leverage strong communication and problem-solving skills to translate complex analyses into clear insights and actionable recommendations for stakeholders.

If you’re passionate about using data, experimentation, and measurement to drive better business decisions and meaningful growth, this may be the role for you.

In this role, you will:

• Measure marketing effectiveness using data science methodologies such as experimentation (A/B test), incrementality analysis, and marketing mix modeling (MMM).
• Develop and scale new measurement methodologies to improve how marketing impact is evaluated across channels, while proactively identifying and solving measurement and data challenges.
• Conduct deep-dive analyses using SQL, Python, and Tableau to generate insights on marketing performance and customer behavior, uncovering growth opportunities
• Translate complex analytical findings into clear, actionable insights for marketing stakeholders and senior leadership to support data-driven decision making.
• Frame ambiguous business questions into structured analytical problems, applying data science approaches to deliver practical and scalable solutions.
• Drive cross-functional partnerships and manage stakeholders across marketing, finance, and engineering teams to implement measurement frameworks and enable data-driven decision making.
• Contribute to the broader analytics community by promoting measurement best practices and advancing experimentation and analytics capabilities.
• Takes a proactive approach to problem solving, identifies opportunities, collaborates effectively with others, and operates with a high degree of independence.

Experiences and Qualifications:

• Relevant degree in a quantitative discipline such as Mathematics, Data Science, Engineering, Statistics, or a related field, or minimum of 3+ years of experience in analytics, data science, or a related analytical role.
• Proven track record of translating large and complex datasets into strategic, actionable business insights, driving end-to-end processes from data extraction and analysis to insight generation, implementation, and evaluation.
• Hands-on experience applying statistical methods and experimentation techniques, including A/B testing and causal analysis.
• Strong proficiency in SQL, Python, and Tableau for data extraction, analysis, modelling, and visualization.
• Strong project management, cross-functional collaboration, and stakeholder management skills, with the ability to influence senior decision-makers.
• Experience measuring marketing effectiveness and channel ROI, such as incrementality analysis, marketing mix modeling (MMM), cleanroom, or other marketing measurement frameworks, is a strong plus.

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Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.