DS Analytics II - Landing at Expedia

Introduction to the Team

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees.

Every day, millions of travelers land on Expedia Group's pages looking for their next adventure — and our Landing analytics team is at the heart of making those first moments count. we use data to shape the very first experience a traveler has with our brands across Lodging, Flights, Packages, and Vrbo.

This isn't passive reporting — it's high-impact, hands-on analytics that directly moves the needle. Our team supports end-to-end A/B experiments, builds strong insights and recommendation to impact the performance of landing pages. The insights we deliver don't sit in a slide deck — they ship as product changes that millions of travelers interact with every day.

You'll partner closely with Product Managers, engineers, and senior leaders to uncover the biggest opportunities in user behaviour, size and prioritise ideas, and measure the real-world impact of every change we make. You'll have the autonomy to own strategic workstreams end-to-end — from framing the question and pulling the data to presenting the recommendation.

If you're excited by the idea of combining rigorous experimentation with creative problem-solving to optimise how travellers discover and engage with one of the world's largest travel platforms, this is the team for you.

We also work extensively on dashboards, reporting and data modelling to regularly monito the performance of our area and perform the root cause analysis to drive the improvements. AI tools sits at the heart of this work and we have been using them extensively in our day-to-day work

In This Role, You Will:

• Apply analytics methods to frame business problems, break them into actionable analytical tasks, and deliver iterative solutions

• Extract, combine, and transform data from multiple sources to support analysis, experimentation, and modelling

• Use statistics and experimentation techniques (e.g. regression, A/B testing, pre/post analysis, causal methods) to generate insights and recommendations

• Build and apply basic analytical models, understanding data requirements, assumptions, and limitations

• Write efficient, reusable, and reproducible code (SQL, Python, R or similar), following data quality and performance best practices

• Create clear visualisations, dashboards, and narratives that communicate insights to technical and non‑technical audiences

• Collaborate transparently with stakeholders and analytics peers, seeking feedback and becoming increasingly self‑sufficient

• Automate repeatable reporting and measurement, enable self‑service analytics, and support data literacy across the business

Experience and Qualifications

• 2–3+ years’ experience for Bachelor’s or Master’s graduates (preferably in Mathematics, Statistics, or a scientific discipline), or 3+ years in a comparable analytics role

• Proven experience delivering data‑driven insights that led to measurable business impact

• High proficiency in SQL and experience using Python, R, or similar tools for data analysis and visualisation

• Solid grounding in statistics, probability, experimentation, and regression techniques

• Experience working with large or complex datasets and understanding associated challenges

• Strong critical thinking, problem‑solving, and inquisitive mindset

• Effective communication and influencing skills, with the ability to tailor outputs to different audiences

• Growing business acumen, familiarity with key data sources, and commitment to continuous learning and best practices