Data Analyst - Segments - Decision Intelligence

Company:
Location: Amsterdam

*** Mention DataYoshi when applying ***

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

B.Team:

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.

B.Analyst:

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.

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 stories
  • 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.
  • Communicates effectively, collaboratively and challenges constructively to create rapport and establish trust
  • 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
  • Uses previous knowledge and experience on data analysis and visualization to answer business questions in the most efficient way
  • Is aware and has experience working in our experimentation culture, process and results interpretation
  • Is aware of statistical models used within their scope
  • 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
  • Supports the technical development of other team members

B.Skilled

  • Strong knowledge and experience on data analysis.
  • Experience in data management, data visualization and quality.
  • Knowledge and experience using data analysis and visualization tools (e.g: tableau, data studio, powerbi, mixpanel, etc)
  • Mastery with at least one data analysis language (e.g: R, SQL, Python, etc). Stack we’re currently using: Python/R for data analysis; SQL/ PySpark for workflows
  • Awareness and experience working in an experimentation culture, process and results interpretation is a plus
  • Previous experience in product company on growth strategy is a plus

*** Mention DataYoshi when applying ***

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