Ofertas de empleo de Analista de Datos en Tarragona

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada6 feb.

Python TSQL Machine Learning Power BI Tableau

Data Analyst for AI projects

Country: Spain

IT STARTS HERE

Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what´s possible.

This is more than a strategic shift. It´s a chance for driven professionals to grow, learn, and make a real difference.

Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world-class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world.

We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.

Our mission is to contribute to helping more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. This job offer is an opportunity not only to join a great company but also to collaborate in projects that have a real impact on society.

THE DIFFERENCE YOU MAKE

About the Role

At Santander, we are building a world-class AI and Data organization to drive innovation at scale and impact the lives of over 170 million people worldwide. As part of our strategic ambition to become an "AI-First" bank, we are looking for a Data Analyst to join our team. You will be responsible for exploring data, extracting insights, and preparing datasets that will serve as the foundation for the development and training of Artificial Intelligence models. You will play a crucial role in the lifecycle of AI use cases, ensuring that the data used is of high quality and that the models generate the expected impact.

Key Responsibilities

Data Analysis and Preparation
- Explore and analyze large datasets to identify patterns, trends, and opportunities for the application of AI models.
- Perform data cleaning, transformation, and preprocessing to ensure its quality and suitability for modeling.
- Apply feature engineering techniques to improve the performance of predictive models.

Support for the AI Lifecycle
- Collaborate closely with Data Scientists and AI Engineers to develop, train, and validate models.
- Define and monitor model performance metrics and create dashboards to visualize results and business impact.
- Translate business requirements into analytical problems and concrete data specifications.

Communication and Collaboration
- Act as a liaison between business areas and technical AI teams.
- Present analysis findings and results to different audiences, both technical and non technical.

WHAT YOU´LL BRING

Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organization. We´re enabling teams to go beyond by valuing who they are and empowering what they bring.

The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education:
- Degree in Engineering, Statistics, Mathematics, Computer Science, or a similar field. (Required).

Professional Experience
- Solid experience in data analysis, with proficiency in SQL and Python (especially libraries like Pandas, NumPy, and Scikit-learn). (Required).
- Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn. (Required).

Hard Skills
- Knowledge of the fundamental concepts of machine learning and its lifecycle. (Required).
- Excellent communication skills and the ability to work in complex, multidisciplinary environments. (Required).

WE VALUE YOUR IMPACT

Your contribution matters, and it´s recognized. You can expect a fair, competitive reward package that reflects the impact you create and the value you deliver. But we know rewards go beyond numbers.
- We´re enable our teams to go beyond through global opportunities and broad career paths.
- Flexibility that works. Enjoy a hybrid working models-some days remote, some days onsite with your team-along with flexible hours.
- Learning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy (www.santanderopenacademy.com)
- Competitive rewards. Receive a highly competitive salary with performance-based bonuses, motivating you to keep growing with us.
- Financial advantages. Benefit from preferential banking terms, special interest rates on loans, life insurance, and more.
- Your health is our priority. Through BeHealthy, our global wellness programme, we promote Holistic wellbeing.
- We know family is everything. That´s why we offer childcare support and family-friendly programmes tailored to each life stage.
- Always by your side. Get access to Santander Contigo, our program for employees and their families offering legal, emotional, and administrative advisory services.
- Extra benefits. Gym/WellHub membership, medical centers in some of our facilities, meal subsidy, parking, shuttle service from various points in Madrid, as well as exclusive discounts and offers for Santander employees. And that´s only the beginning-we´ll tell you more when you join!

We´re here to keep you motivated, help you reach your goals, and celebrate your progress, every step of the way.