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# Checkout Data Analyst - Hybrid

- **Company:** e-dreams
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Airflow, Business Analytics Applications, Databases, Data Files, Data Visualization, Decision Support Systems, Python (Programming Language), Microsoft Office, Operational Databases, Workflow Management Systems, Google Data Studio, System Availability, Information Technology, Data Management, Data Pipelines
- **Published:** June 15, 2026
- **Apply:** https://www.edreamsodigeocareers.com/job/checkout-data-analyst/

## About the Role

* Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Mathematics, Statistics, etc.).
 * Experience building and optimising data pipelines, data sets and workflow management tools (e.g. Airflow).
 * Advance knowledge of SQL is a requirement as well as experience working with databases and large sets of data; Python programming skills are also required as well as experience in data visualisation or exploration tools such as Looker Studio.
 * Advanced Office skills. Strong experience with analytical tools, ideally with Microsoft and Google Office package (Excel, etc.).
 * Strong analytical and problem-solving skills, with high attention to detail.
 * Strong organisational and communication skills.
 * Experience supporting and working with cross-functional teams in a dynamic environment.
 * A self-starter and team player, who also enjoys having fun!
 * Business Proficiency in English.

## Description

* Build the infrastructure required for the extraction, transformation and loading of data from a wide variety of data sources.
 * Assemble large and complex datasets, with an optimal data pipeline architecture, meeting business requirements.
 * Implement processes to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
 * Create alerts and dashboards to contribute to the monitoring and tracking of our business KPIs.
 * Identify, design and implement internal process improvements: automating manual processes, optimising queries, re-designing infrastructure for greater scalability, etc.
 * Collaborate with analytics and business teams to improve data models that feed existing reports or create brand new reports with the aim to increase data accessibility and foster data-driven decision making across the organisation.
 * Contribute to the delivery of strategic projects by participating in the delivery of key initiatives, giving support to the analytics and business teams when it comes to data availability and visualisation to ensure progress and effective delivery of the desired outcomes. Work together with stakeholders in the execution of the projects.


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