Data Analyst - Accommodations - Partner Interaction Channels

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 make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.

With over 1.6 million room nights booked every day, accommodation represents the largest share of our business to date. We are responsible for accommodation growth, with clear ownership of all marketing, product and supply related to accommodations. Our mission is to deliver the best customer experience and most varied selection of properties.

We are looking for a Data Analyst to join the Partner Interaction Channels team in the Selection and Supply Tech department of Booking.com

Booking.com is known for being data-driven and supporting both our partners and customers through our platform. The Partner Interaction Channels team is part of the Selection and Supply Tech department, enabling the business to understand better the partner behaviour, as well as identifying the best opportunities for our partners, supporting them with the best advice in a timely manner. We support initiatives across multiple channels through which our Partners interact with us, supporting the connected ecosystem with product, tech and commercial solutions and thereby enabling accommodation partners to be set up for success at Booking.com and deliver a great guest experience.

As a Data Analyst you will be working closely with the product teams and business stakeholders within the Selection and Supply Tech organization. You understand the partner market dynamics by leveraging extensive internal and external data sources and guide the Selection and Supply Tech organization in making the right decisions both for the partner and our customers by identifying and measuring the incremental business impact that the product changes have.

You will be working in a team of Data Scientists and Analysts who cover a wide spectrum of topics within the area. Some current initiatives: creating insights in which situations we need more supply, identifying partner behaviour shifts, communication channel mix, selecting partners to target with which opportunities or advice is needed to optimise their performance or enable our internal scaled channels to be as efficient and effective as possible to support our partners.

1. Responsible

• Work independently and be a reference to others in your craft on data collection and preparation, data visualization and data quality
• Use your past experience and independently translate business problems into data stories, i.e., hypotheses on opportunities to improve pricing
• Maintain, drive and spot opportunities for price actions as well as reports, metrics and workflows running within your scope
• Manage and communicate with stakeholders clearly and effectively on your own by using presentation and storytelling skills that adapt to different audiences.
• Communicates effectively, collaboratively and challenge constructively to create rapport and establish trust.
• Actively participate and drive business and/or analytics team activities and suggest ways of achieving objectives (standup, planning meeting, retrospectives)
• Network, proactively connect and coach craft peers beyond the team scope
• Use expertise on data analysis and visualization to answer business questions in the most efficient way
• Ensure scalability, reproducibility and long term orientation in the work you do
• Collaborate and be open to giving and receiving feedback with peers and direct stakeholders
• Flexible in proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peer’s when a more efficient way presents itself

1. Skilled

• Able to spot opportunities to drive business growth from their craft.
• Analytical and curious mindset
• Expertise and experience on data analysis.
• Expertise in data management, data visualization and quality.
• Expertise using data analysis and visualization tools (e.g: tableau, data studio, powerbi, mixpanel, etc)
• Expertise with at least one data analysis language (e.g: R, SQL, Python, etc)
• Awareness and experience working in an experimentation culture, process and results interpretation.
• Awareness of statistical models
• Driven and results oriented personality
• Open to feedback and always looking for ways to improve own performance
• Able to understand details while keeping an eye on the bigger picture.
• Strong interpersonal skills
• Open and friendly attitude

1. Offered

• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travellers worldwide
• Working in a fast-paced and performance driven culture
• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
• Promote and drive impactful and innovative engineering solutions
• Technical, behavioural and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.