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# Data Analyst

- **Company:** AXA
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Microsoft Azure, Big Data, Data Integrity, Data Warehousing, Digital Assets, Python (Programming Language), Scrum Methodology, Power BI, SQL Databases, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=42210c0332ffeb25

## About the Role

* Minimum of 3-5 years of experience in a production BI environment, with proven expertise in data warehousing and large-scale data analysis projects.
 * Educational background in Business Intelligence, Big Data, or related fields
 * Strong proficiency in SQL, Power BI, Databricks, Python, and Data Warehouse concepts..
 * Experience with Agile methodologies (Scrum) and tools like Azure DevOps.
 * Fluent in English & Spanish, with excellent communication skills to translate complex requirements into effective analytical solutions.
 * Innovative, proactive, and results-oriented, with the ability to thrive in multicultural, fast-changing environments.

## Description

You will be a key player in AXA Partners' digital transformation, turning complex data into valuable insights that influence strategy and improve customer experiences. Your work will enable smarter decisions, automate advanced analytics, and foster a strong data culture across the organization. From designing cutting-edge analytical systems to promoting analytics adoption, your role will be essential in driving innovation, data quality, and governance in a vibrant, multicultural environment.

 * Design, develop, and maintain state-of-the-art analytical systems-including datamarts, cubes, and dashboards-ensuring data quality, performance, and sustainability.
 * Define and document procedures and Data Assets following central guidelines and standards, ensuring data integrity and governance.
 * Lead analytics projects from inception to delivery, supporting teams with technology adoption and best practices in BI and data analysis.
 * Collaborate actively with the data community and business users, promoting knowledge sharing, innovation, and continuous improvement.
 * Validate and ensure the quality, design, and maintainability of reports and analytical assets, providing technical and functional expertise.