At Booking.com we combine the best traits of a start-up with the resources of planet Earth’s #1 accommodation website. We are working towards creating the ultimate travel experience, building and improving great products for both travellers and the accommodation partners.
Booking.com is known for being data-driven. That means making ruthless decisions based on data and that’s exactly where our team comes in. In order to do that, we are currently looking for a Data Analyst to join the Decision Intelligence team in the Segments department of Booking.com
The Segments department is responsible for defining and driving strategies and plans specific to key growth segments, opportunities or topics in order to maximize their contribution to the overall Accommodation Business objectives; through single-threaded focus and tailored approaches, building on the segment agnostic playbook of other departments. Key segments or topics in scope include: Home/Entire Places, Families & Groups, Longer Stays, Chains, and any other future opportunities.
Our team, decision Intelligence, provides the Segments Leadership with a clear view on how the business is doing and digs deeper to find the underlying cause, allowing our leaders to course correct quickly and find new opportunities. We do this through setting the right measurement protocol in place to monitor the progress towards business objectives, running deep-dives, setting up realistic expectations and building communication strategy to ensure actionability.
As part of a bigger analytics track, one of the perks of joining - working along with Data Analysts and Data Scientists to have a great impact on the business direction, working with stakeholders such as Product Managers/ Commercial teams/ Business Operations and Leadership team.
Data Analysts are the drivers of how data is leveraged in solving business problems within their area. They are able to use their experience to consult with stakeholders in problem-definition, setting success metrics and shaping the way forward through data insights and effective communication with their audience.
Data Analysts are able to manage stakeholders largely autonomously (seeking for help in complex scenarios) based on their experience by prioritizing business impact, efficiently adapting to business needs, and managing expectations accordingly.
They can use their deep practical understanding of the data, workflows, methods and tooling to autonomously drive analysis and reporting within their scope. They can adapt their tooling and approach based on business and user needs.