Data Analyst

Key Responsibilities

• Responsible for owning the design and delivery of parts of Data Analytics 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.
  

Communication.Stakeholder

• Business Stakeholders
• Craft team
• Managers
• Leadership team
• DSnA Community
• Other tech crafts
  

Communication.Type

• Cooperation, InformationInput, feedback and providing data outcomes to steer the business
• CooperationSupport & collaboration
• Cooperation, InformationSupport / Input,feedback andproviding data outcomes to steer the business business.
• InformationProviding data to steer the business
• Cooperation, InformationKnowledge sharing, collaboration and support
• InformationData Collection & Tracking
  

Communication.Frequency

• Frequent
• Continuous
• Frequent
• Occasional
• Frequent
• Occasional
  

Level of Education.Level of Education

• Master degree
  

Years of relevant Job Knowledge.Years of relevant Job Knowledge

• Basic Job Knowledge (1 - 3 years)
  

Requirements Of Special Knowledge/skills

• 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
• Analytical and curious mindset
• Strong interpersonal skills
• Open and friendly attitude
• 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)
• Knowledge and experience with at least one data analysis language (e.g: R, SQL, Python, etc)
  

Pre-Employment Screening