About the role
We are looking for a Data Analyst to join our team in Barcelona. You will support a project for a leading automotive client, preparing and organizing complex measurement data to enable quality engineers to take informed actions. Your work will ensure that data is structured and summarized efficiently for cloud-based reporting.
Your profile
- Strong skills in Microsoft Excel for data analysis and reporting.
- Ability to manage and organize large datasets.
- Background in metrology or quality control is a plus (not mandatory).
- No English required.
- Open to junior profiles with analytical mindset.
- Good attention to detail and ability to work independently.
Having a disability certificate will be positively valued, in line with our inclusion and diversity policy.
Our commitment to inclusion and equal opportunities is reflected in our Equality Plan and Code of Ethics, which ensure the professional development of our staff and equal opportunities in their selection within a discrimination-free environment based on ethnicity, nationality, social origin, age, sexual orientation, gender expression, religion, or any other personal, physical, or social circumstance.
What will you like about working here?
We have a very comprehensive catalog of Development and Work-Life Balance measures, such as, for example, and among others:
- Support at the beginning with the Buddies program.
- 24 vacation days + 2 personal days + December 24 and 31, plus the option to buy up to 7 vacation days per year.
- Continuous training: You can enjoy Mylearning, Capgemini University, and our Digital Campuses. You will have access to platforms such as Coursera, Udemy, Pluralsight, Harvard Manager Mentor, Education First for languages (English, French, German...) among others!
- International DATA & AI Community, where you can collaborate with experts from around the world.
The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.
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