ba - data analyst

Coordinator
Geographical Responsibility India COE
Last updated on Feb 5, 2025 By Nadia Hassen &
Julian BammerJob 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 data analysts who will implement and maintain PySpark tables following
established data models and best practices. The role involves translating business requirements
into technical specifications, particularly focusing on payment cost analysis. You'll support data
quality initiatives through table refinement and validation while collaborating with senior analysts
to implement robust data solutions. A key aspect of the role includes assisting in documenting
data lineage and technical processes to ensure knowledge sharing across the team. Your
analytical mindset will help drive improvements in our data infrastructure while maintaining high
standards of data quality and reliability.
About the Team
The successful candidate will be a key member of the Fintech department and Commercial
Analytics Analytics Team. As a member of this team the individual will be responsible for
implementing and maintaining PySpark data tables, translating business requirements into
production code, and ensuring data quality through systematic validation. They will collaborate
with other analysts on data related to payments analysis and contribute to the continuous
improvement of our data infrastructure. Working closely with the team, they will help refine
existing tables and develop new solutions to meet evolving business needs.B.Responsible
● Works independently on data collection,preparation and writing production-ready code.
● 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 and data
reconciliations.
● 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 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 a 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 and PySpark
● Experience working with large datasets, data transformation and big data pipelines
● Good knowledge of Python programing principles
● Familiarity with Big data platforms and version control is a big 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

experience

6