Key Responsibilities Responsible for owning the design and delivery of entire Data Analytics solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently. Responsible for working autonomously on consuming data, preparing it for analytical use, translating business problems to data stories and leveraging input from business stakeholders to determine the right technical solutions to deliver customer value. Responsible for working primarily within the scope of their team to deliver work that informs business decisions for a product / business topic in the area they work in, occasionally collaborating across multiple teams. Responsible for leveraging previous knowledge, experience and substantial skills in data analysis and data visualization to answer business questions in the most efficient way. They understand stakeholder needs and create intuitive and insightful visualizations that translate data into actionable insights to answer those needs. Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement. Responsible for being flexible in adopting existing internal and external Data Analytics approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peer's when a more efficient way presents itself. Responsible for leveraging Data Analytics for impact while learning to incorporate scalability, reproducibility and long term orientation in their work. Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example. Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area. Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do. Responsible for collaborating with peers in related crafts (ie.Data Engineering), anticipating data needs to ensure smooth progress of their individual projects. Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit). Responsible for ensuring quality of their own work by validating it through peer review. Responsible for influencing business decisions within their specific area (ie. product team). Communication.Stakeholder Business Stakeholders Craft team Managers Leadership team DSnA Community Other tech crafts Communication.Type Cooperation, Information - Input, feedback and providing data outcomes to steer the business . Cooperation - Support & collaboration Cooperation - Support / Input, feedback and providing data outcomes to steer the business . Information - Providing data to steer the business. Cooperation - Knowledge sharing, collaboration and support Information - Data 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 Broad Job Knowledge (3 - 5 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. Able to spot opportunities to drive business growth from their craft. Analytical and curious mindset Strong interpersonal skills Open and friendly attitude 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) 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.