Data Analyst

Hace 2 días

Barcelona, Barcelonés (comarca); Provincia de Barcelona; Cataluña, España eDreams Jornada completa
Overview As a Data Analyst in the Checkout team, you will build and maintain data pipelines, ensuring reliable data for stakeholders and business processes. You’ll create dashboards and alerts to monitor KPIs, and work with analytics and business teams to improve data models and reporting. You’ll drive automation and scalable data infrastructure to support data-driven decision making across the organization. This role offers collaboration in an agile environment and exposure to strategic initiatives that shape the Prime platform and travel experience. Compensaciones / Beneficios Prime Plus membership flexible benefits performance-based bonuses birthday day off relocation support and premium equipment Coursera access and training Responsabilidades Build data extraction, transformation, and loading pipelines from diverse sources Assemble large datasets with scalable pipeline architecture to meet business needs Implement data quality processes to ensure production data accuracy and availability Create alerts and dashboards to monitor key business KPIs Identify and implement internal process improvements (automation, query optimization, scalable infrastructure) Collaborate with analytics and business teams to enhance data models and reports Contribute to strategic projects by ensuring data availability and visualization for project delivery Work with stakeholders to execute project goals and ensure progress Requisitos principales Bachelor in a quantitative discipline (field not explicitly specified) Experience building and optimising data pipelines and workflow tools (e.g., Dataform) Advanced SQL; experience with databases and large data sets Python programming skills Experience in data visualization or exploration tools (Looker Studio) AI-first mindset to leverage AI tools for efficiency Advanced Office skills; strong analytical and problem-solving abilities Strong organisational and communication skills; experience working with cross-functional teams Self-starter and team player with a proactive approach Business proficiency in English Strong analytical and problem-solving Excellent communication and organizational skills Cross-functional collaboration SQL Python Data pipelines