Data Analyst

• The Central Tech Analytics Team is the primary data and insights partner for Leadership, Tech, and Product teams.
• The team is responsible for transforming operational, financial, engineering, and workforce data into clear, actionable insights, providing stakeholders with the dashboards, analysis, and insights necessary for informed decision-making
• As a Data Analyst I you’ll work on analytics tasks such as reporting, visualization and analysis within the scope of the team.
• You are expected to combine your understanding of the business with the knowledge of data, workflows, methods and tooling to largely autonomously drive analysis and reporting. You will also collaborate with peers in the craft and follow best practices ensuring data quality and stability
• 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
• Working independently on consuming data, preparing it for analytical use and translating business problems to data stories
• Delivering work that informs business decisions for the product / business topic you work on
• Leveraging foundational skills in data analysis and data visualization to answer business questions
• Incorporating stakeholder requirements when creating intuitive and insightful visualizations that translate data into actionable insights
• Connecting and collaborating with stakeholders in operational and project-based roles
• Using effective communication to address stakeholders’ needs and presenting data insights in an accessible, business-friendly manner
• Being flexible in adopting existing internal Data Analytics approaches and expanding your technical competencies when a more efficient way presents itself
• Networking and proactively connecting with craft peers and peers in related crafts (ie. Data Engineering) beyond the team’s scope to ensure successful outcomes
• Ensuring quality of your own work by validating it through peer review

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options- Proficiency in building dashboards and using visualization tools (e.g., Tableau, Power BI)
• Proficiency in data analysis languages (e.g., SQL, Python)
• Ability to explain analyses clearly and present ideas in a structured way
• Experienced in working with stakeholders or cross-functional partners, preferably experienced in working in an engineering/technical heavy environment
• Ability to work independently with limited support in an ambiguous environment
• Minimum of 2 year of experience in a data or software adjacent field, working with systems and data infrastructure at scale
• Independent in working with relational databases and any flavor of SQL in an analytical context
• Ability to identify blockers early and communicate them well
• Independent in working with ETL/ELT tools and methodologies
• Strongly preferably experienced in working in a technical/engineering scope rather than commercial analytics scope