Checkout Data Analyst - (Hybrid)

OverviewSe anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.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 / BeneficiosPrime Plus membershipflexible benefitsperformance-based bonusesbirthday day offrelocation support and premium equipmentCoursera access and trainingResponsabilidadesBuild data extraction, transformation, and loading pipelines from diverse sourcesAssemble large datasets with scalable pipeline architecture to meet business needsImplement data quality processes to ensure production data accuracy and availabilityCreate alerts and dashboards to monitor key business KPIsIdentify and implement internal process improvements (automation, query optimization, scalable infrastructure)Collaborate with analytics and business teams to enhance data models and reportsContribute to strategic projects by ensuring data availability and visualization for project deliveryWork with stakeholders to execute project goals and ensure progressRequisitos principalesBachelor 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 setsPython programming skillsExperience in data visualization or xqysrnh exploration tools (Looker Studio)AI-first mindset to leverage AI tools for efficiencyAdvanced Office skills; strong analytical and problem-solving abilitiesStrong organisational and communication skills; experience working withcross-functional teamsSelf-starter and team player with a proactive approachBusiness proficiency in EnglishStrong analytical and problem-solvingExcellent communication and organizational skillsCross-functional collaborationSQLPythonData pipelinesHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

progressRequisitos principalesBachelor 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 setsPython programming skillsExperience in data visualization or xqysrnh exploration tools (Looker Studio)AI-first mindset to leverage AI tools for efficiencyAdvanced Office skills; strong analytical and problem-solving abilitiesStrong organisational and communication skills; experience working withcross-functional teamsSelf-starter and team player with a proactive approachBusiness proficiency in EnglishStrong analytical and problem-solvingExcellent communication and organizational skillsCross-functional collaborationSQLPythonData pipelinesHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.