• Degree in Economics, Business Administration and Management, Law, or equivalent degrees with a solid economic-financial foundation.

• Specific university training in Data Analysis, Data Science, Business Analytics, Statistics, Mathematics, Engineering, or related disciplines (double degree, university master's, or accreditable specialization).

Technical Knowledge

• Knowledge of taxation and accounting or the ability to develop technical knowledge in tax regulations and the assessment of tax impacts.

• Proficiency in data analysis and programming tools, especially Python and SQL.

• Experience in data visualization and exploitation tools (Power BI or equivalents).

• Knowledge of data models, information processing, and analysis.

• Knowledge of artificial intelligence, especially Generative AI, as well as its application to business processes and document analysis.

• Experience in process automation, development of analytical solutions, and the use of collaborative tools for data science will be valued.

Competencies

• Analytical capacity and critical thinking.

• Technical rigor and quality orientation.

• Ability to integrate business, tax, and data analysis knowledge.

• Intellectual curiosity and continuous learning.

• Proactivity and initiative to identify improvement opportunities.

• Ability to work in multidisciplinary teams and collaborate with different areas of the organization.

• Communication skills to translate complex analyses for different stakeholders.

Experience Level

Junior profile, with initial professional experience or up to two years, preferably in the financial sector. Internships or academic projects related to taxation, data analysis, artificial intelligence, or digital transformation will be valued.

Excited to grow your career?

BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

Learn more about the area:

BBVA's Tax area is responsible for ensuring solid, efficient tax management aligned with the Group's strategy, providing specialized advice in a complex and constantly evolving regulatory environment.
As a global function, the area participates in the analysis of the tax implications of major operations and business decisions, ensuring compliance with tax obligations and contributing to the proper management of tax risks. Likewise, it works closely with various business areas and corporate functions to incorporate the tax perspective into strategic initiatives, transformation projects, and new products.
The Tax Department is immersed in a continuous transformation process, driving new ways of working based on data analysis, automation, and artificial intelligence.

About the job:

Position Mission

Contribute to the development of BBVA's tax function by combining technical knowledge in tax matters with advanced data analysis and artificial intelligence capabilities. The position aims to support the analysis of operations with tax impact, develop analytical solutions that improve the efficiency and quality of the area's processes, and drive the adoption of data and AI technologies as levers for the Tax Department's transformation.
The successful candidate will progressively develop a deep knowledge of tax regulations and their application to the business, complementing this with technical skills that allow them to extract value from data and apply innovative solutions in a highly regulated environment.

Main Responsibilities

• Analyze operations and processes with potential tax impact, supporting the identification and evaluation of risks and opportunities.

• Participate in the technical analysis of tax regulations and their application to the Group's various activities.

• Design and develop data analyses that facilitate decision-making and improve the Tax Department's analytical capacity.

• Develop and maintain data-based solutions for the automation, monitoring, and optimization of tax processes.

• Collaborate in the identification, evaluation, and implementation of artificial intelligence use cases applied to the tax function.

• Participate in digital transformation initiatives within the area, promoting the incorporation of analytical tools and AI technologies into daily activity.

• Prepare reports, visualizations, and analytical models that allow for the interpretation of complex information and facilitate decision-making.

• Collaborate with multidisciplinary teams from Tax, Finance, Engineering, Data, and other corporate areas.

Required Profile / Education

• Degree in Economics, Business Administration and Management, Law, or equivalent degrees with a solid economic-financial foundation.

• Specific university training in Data Analysis, Data Science, Business Analytics, Statistics, Mathematics, Engineering, or related disciplines (double degree, university master's, or accreditable specialization).

Technical Knowledge

• Knowledge of taxation and accounting or the ability to develop technical knowledge in tax regulations and the assessment of tax impacts.

• Proficiency in data analysis and programming tools, especially Python and SQL.

• Experience in data visualization and exploitation tools (Power BI or equivalents).

• Knowledge of data models, information processing, and analysis.

• Knowledge of artificial intelligence, especially Generative AI, as well as its application to business processes and document analysis.

• Experience in process automation, development of analytical solutions, and the use of collaborative tools for data science will be valued.

Competencies

• Analytical capacity and critical thinking.

• Technical rigor and quality orientation.

• Ability to integrate business, tax, and data analysis knowledge.

• Intellectual curiosity and continuous learning.

• Proactivity and initiative to identify improvement opportunities.

• Ability to work in multidisciplinary teams and collaborate with different areas of the organization.

• Communication skills to translate complex analyses for different stakeholders.

Experience Level

Junior profile, with initial professional experience or up to two years, preferably in the financial sector. Internships or academic projects related to taxation, data analysis, artificial intelligence, or digital transformation will be valued.

Skills: