At a Glance
- Tasks: Transform complex data into insights that enhance hotel partnerships and drive strategic decisions.
- Company: Join Expedia Group, a global leader in travel powered by passionate people and cutting-edge technology.
- Benefits: Enjoy travel perks, generous time off, flexible work, and career development resources.
- Other info: Collaborative culture that celebrates diversity and fosters career growth.
- Why this job: Make a real impact on the future of travel while growing your analytical skills.
- Qualifications: 2+ years experience in data analysis with proficiency in SQL and Python or R.
The predicted salary is between 63000 - 77000 £ per year.
At Expedia Group, we help travelers explore the world, one journey at a time.
As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy.
Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work.
Join us and build for travelers everywhere.
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 we 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, 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.
Make an impact
The Data Scientist II, Hotel Enterprise Partnerships Analytics role sits within Expedia Group’s Supply and Marketplace Analytics organization.
Our Hotel Enterprise Partnerships team helps strengthen relationships with hotel partners by turning complex data into clear insights that improve strategic margin revenue, supply quality, and commercial decision-making.
In this role, you will work with large datasets, analytics products, and cross-functional partners to explain performance, identify opportunities, and create recommendations that help Expedia Group and its partners grow.
You will have the opportunity to build scalable reporting and insight solutions while developing your expertise in a global travel marketplace.
- In this role, you will
- Frame business questions as analytical problems, break them into practical tasks, and recommend approaches that balance analytical quality, effort, and time.
- Analyze data from multiple sources using SQL and Python, R, or a similar language; create reliable datasets, reusable code, and basic data pipelines or workflows.
- Develop data-driven insights and recommendations that support hotel partner discussions, commercial decisions, supply quality, and performance improvement.
- Apply descriptive statistics, regression, experimentation, and causal or pre/post analysis where appropriate, clearly explaining assumptions, limitations, and results.
- Create clear visualizations, dashboards, executive summaries, and other artifacts that help technical and non-technical stakeholders understand what is happening and what to do next.
- Master latest AI productivity technology to revolutionize the depth and the trust in your work.
- Collaborate transparently with analytics, product, data, engineering, and commercial partners; seek feedback early and share knowledge with teammates.
Experience and qualifications
- You have 2+ years of relevant experience with a bachelor’s or master’s degree in mathematics, statistics, computer science, or a related technical field; or Equivalent related professional experience.
- You have demonstrated experience using SQL and Python, R, or a similar programming language to analyze, structure, transform, and visualize large datasets.
- You efficiently leverage AI to speed-up delivery, automate and add depth to your analyses.
- You understand probability, descriptive statistics, regression, and common experiment designs such as pre/post analysis, A/B testing, or causal impact analysis.
- You can combine data from multiple sources, perform data quality checks, and write efficient, shareable code that can be translated into a data pipeline or reused by others.
- You can explain analytical methods, caveats, and recommendations clearly to audiences with different levels of technical understanding, including stakeholders up to Senior Manager level.
- You bring curiosity, critical thinking, problem-solving ability, business acumen, and a collaborative approach to working through ambiguous questions.
- Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience.
If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels. com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
Across our brands and business, we help travelers explore the world with confidence and ease.
Equal Opportunity
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.
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Data Scientist II, HEP Analytics in London employer: Expedia, Inc.
Expedia Group is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Senior Loyalty Product Manager. With a strong focus on employee growth and development, team members are encouraged to explore new ideas and enhance their skills in a dynamic environment. Located in a vibrant city, employees enjoy unique benefits and the opportunity to make a meaningful impact on customer experiences across a global platform.
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