Senior Data Analyst

Senior Data Analyst

Madrid

Categoría: Analista - Big Data

Salario: ~

Empresa: Santander

Estudios:

Experiencia: 3-5 años

Tipo de contrato: Indefinido

Jornada: Jornada completa

Fecha: 02/01/2026

Descripción: Senior Data Analyst (with Data Engineering Background)

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 mission is to help people and businesses prosper. As part of the global AI Transformation team, you will lead and manage strategic artificial intelligence initiatives driving impact on global businesses and core functions. We are looking for someone who connects Business, AI and technology, ensuring AI solutions create measurable value.

THE DIFFERENCE YOU MAKE

As a Senior Data Analyst you will combine deep analytical skills with strong data engineering capabilities to deliver reliable insights, scalable data pipelines, and high-quality datasets for decision-making and AI initiatives. As a senior IC, you will own complex data problems end-to-end-from understanding business questions to architecting data solutions and delivering actionable recommendations.

Key Responsibilities
- Design, build, and optimize data pipelines (batch and streaming) to support analytics and AI workloads.
- Develop robust data models and analytical layers that improve data discoverability and reusability.
- Lead complex analyses and generate insights that influence strategy, product decisions, and operational improvements.
- Partner with engineering, product, and AI teams to ensure complete, high-quality datasets for model development and monitoring.
- Establish data quality frameworks, metadata standards, and pipelines observability practices.
- Automate reporting, dashboards, and analytical workflows to increase speed and self-service.
- Mentor peers in analytical methods, SQL/Python best practices, and data engineering patterns (without people management).

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.

Hard Skills
- Advanced SQL and Python expertise. (Required).
- Strong experience with ETL/ELT frameworks (Airflow, dbt, Data Factory, etc.). (Required).
- Practical experience with cloud data ecosystems (Azure, AWS, GCP). (Required).
- Expertise in designing scalable data models (dimensional, lakehouse, MPP systems). (Required).
- Strong statistical reasoning and proficiency with analytical tools (Pandas, Spark, BI platforms). (Required).
- Ability to translate ambiguous business questions into structured analytical approaches. (Required).
- Experience supporting ML/LLM pipelines or ML Ops. (Preferred).
- Knowledge of financial services data, regulatory constraints, or risk frameworks. (Preferred).
- Familiarity with modern data cataloging and governance tooling. (Preferred).

Soft Skills
- Consistently delivers reliable data products and insights with minimal supervision.
- Reduces data latency, errors, and operational effort through automation and design choices.
- Improves decision-making for stakeholder groups through impactful analytics.

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!

Publicado 03-01-2026

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