Data Analyst I

Job Description

About Booking.com

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 make it easier for 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. Our mission is to deliver the best customer experience and the

most varied selection of properties.

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 travelers and the accommodation partners.

About The Role

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.

We are looking for experienced data analysts who would be able to deep-dive into data to

generate insights, run root cause analysis autonomously and manage business stakeholders

largely independently (seeking for help in complex scenarios) based on their experience by

prioritizing business impact and efficiently adapting to business needs.

About The Team

The successful candidate will be a key member of the Global Accounting department and

Payments Accounting Data Analytics Team. As a member of this team the individual will be

responsible for generating data driven analysis, reporting, running root cause analysis and data reconciliations to support business stakeholders.

B.Responsible

• Works independently on data collection and preparation.
• Uses their past experience and seeks for help in complex scenarios to translate
  
  
  

business problems into data driven insights.

• Leverages available big data platforms to run root cause analysis, data reconciliations
  
  
  

and shares the insights with the business team.

• Maintains and drives key reports, metrics and workflows running within their scope
• Is able to communicate results and outcomes clearly to stakeholders based on their
  
  
  

knowledge and experience.

• Actively participates in business and/or analytics team activities and suggests ways of
  
  
  

achieving objectives (standup, planning meeting, retrospectives)

• Networks and proactively connects with craft peers beyond the team scope
• Has strong understanding of the big data ecosystems
• Collaborates and is open to giving and receiving feedback with peers and direct
  
  
  

stakeholders.

• Is flexible in adopting and proposing new approaches and expanding their technical
  
  
  

competencies when a more efficient way presents itself

• Expected to get significant deep knowledge about the operational, tactical and strategic
  
  
  

workings of the department. Has a main focus on business and technical opportunities.

B.Skilled

• Educational background in Quantitative field - Preferably a Master's degree
• 3-5 years of experience in data analytics, Insight generation and data visualization
• Should have executed big data analytics projects in Industry setting
• Advanced knowledge of SQL
• Good knowledge with Python/Py-Spark
• Familiarity with Big data platforms and version control is a plus
• Familiarity with financial metrics is a big plus
• Strong communication and stakeholder management skills
• Able to understand details while keeping an eye on the bigger picture
• Knowledge and experience using data analysis and visualization tools (e.g: tableau,
  
  
  

data studio, powerbi, mixpanel, etc)

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.