Data Analyst I - PPC Data Analysis, Marketing

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Leadership/Team Quote:

The successful candidate will join the Data Science & Analytics team in PCC (Pay-per-click), where we develop strategies to manage Booking's search engine marketing budget (one of the largest online advertising budgets in the world). The team supports the commercial and machine learning teams with reporting, insights and experimentation. The Data Analyst I will be responsible for analyzing and reporting on our Paid Search marketing channel & activities, leveraging the data from various proprietary models and experiments. Beyond the analytical aspect, they will be expected to effectively communicate with Senior stakeholders and technical peers and take part in strategic planning. They will be key in ensuring that data is leveraged with maximum impact, as well as take the lead on projects. Finally, domain knowledge of (Performance) Marketing is a big plus, but not a requirement.

• Responsible for owning the design and delivery of parts of Data Analytics & Reporting solutions based on business requirements, contributing to bringing them from the initial idea-generation phase to implementation with some supervision.
• Responsible for working independently on consuming data, preparing it for analytical use and translating business problems to data stories. Can ask for guidance on more complex tasks.
• Responsible for working within the scope of their team and delivering work that informs business decisions for the product / business topic they currently work on.
• Responsible for leveraging foundational skills in data analysis and data visualization to answer business questions. They incorporate stakeholder requirements when creating intuitive and insightful visualizations that translate data into actionable insights.
• Responsible for connecting and collaborating with stakeholders in operational and project-based roles under the guidance of a manager. Uses effective communication to address their needs and presents data insights in an accessible, business-friendly manner.
• Responsible for being flexible in adopting existing internal Data Analytics approaches and expanding their technical competencies when a more efficient way presents itself.
• Responsible for growing their own craft skills while leveraging Data Analytics for impact on well defined business problems.
• Responsible for supporting junior peers when opportunity presents itself through knowledge sharing and setting a good example.
• Responsible for networking and proactively connecting with craft peers beyond the team's scope.
• Must be familiar with the larger data ecosystem at Booking and how it relates to the work they do.
• Responsible for connecting with peers in related crafts (ie. Data Engineering) as needed on specific projects to ensure successful outcomes.
• Must have high level knowledge about the goals of their area (ie. track / vertical).
• Responsible for ensuring quality of their own work by validating it through peer review.

• High SQL proficiency is essential (Python and/or R are beneficial) as well as data cleaning and preparation
• Has strong data visualization skills and experience with dashboarding tools such as Tableau
• Able and willing to develop and manage enterprise level performance reports
• Capable of driving actions from stakeholders and providing self-service analytics & visualization tools
• Strong analytical problem solving skills, especially unstructured problems
• Ability to communicate recommendations in a compelling way that is tailored to the audience
• Driven with a results oriented personality and curious mindset
• Able to identify dependencies on other functions and align across these functions
• Experience working in an experimentation culture and able to process & interpret results
• Experience with analytics in decision making where AB testing is not possible
• Can explain complex analytical findings/solutions to commercial and non-technical stakeholders
• Open to feedback and always looking for ways to improve own performance
• Able to understand details while keeping an eye on the bigger picture.
• Able to spot opportunities to drive business growth from their craft.
• Strong interpersonal skills
• Open and friendly attitude
• Strong data management skills with a focus on data quality (timeliness & correctness)

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

• Let's go places together: How we Hire
• This role does not come with relocation assistance.