Data Analyst

CaixaBank is a socially responsible financial group with a long-term vision, based on quality, proximity, and specialization. It offers a value proposition of products and services tailored to each segment, assuming innovation as a strategic challenge and a differentiating trait of its culture. Its leading position in retail banking in Spain and Portugal allows it to play a key role in contributing to sustainable economic growth.

• Solve complex business problems through data and advanced analytical techniques, identifying patterns, opportunities, and levers for action that allow for the improvement of pricing, profitability, and value proposition.
• Build, validate, and evolve Machine Learning models, from initial exploration to their integration into decision processes.
• Work together with business, technology, and transformation teams to convert analytical results into implementable decisions and solutions.
• Design experimentation methodologies and impact measurement to evaluate commercial and pricing decisions, identifying causal relationships and learning from the results.
• Develop analyses and monitoring systems that allow for measuring the impact of implemented decisions and models and identifying new opportunities for improvement.

We are looking for a Data Scientist to join the Business Analytics and Pricing team, where we work at the intersection of Data Science, business intelligence, and pricing decisions.

Our goal is to transform large volumes of customer and business data into models, insights, and tools that allow for better decisions regarding price, profitability, engagement, and customer value.

• Models that reach the business: we don't stop at analysis or prototyping. We work to convert models into actionable decisions and tools.
• Economically relevant problems: pricing, elasticity, propensity, churn, customer lifetime value, profitability, and optimization.
• Scale: you will work with large volumes of data and problems that affect multiple customer segments and businesses.
• Experimentation and impact measurement: evaluating which decisions work and improving models.
• End-to-end vision: from data exploration and model construction to its implementation, monitoring, and impact.
• Applied innovation: ML, optimization, generative AI, and new methodologies applied to real business problems.

• Python and SQL.
• Large volumes of data.
• Google Cloud Platform / BigQuery.
• Vertex AI and Machine Learning tools.
• Generative AI and development/analysis assistants.
• Visualization and business analytics tools.

We are looking for profiles that enjoy moving between data, models, and business. People capable of developing a model in Python, exploring millions of records using SQL, and then explaining to a business team which decision to take based on the results.

• Quantitative background: Mathematics, Statistics, Physics, Engineering, Quantitative Economics, Data Science, or similar.
• Very good command of Python and SQL.
• Experience in the development and validation of Machine Learning models.
• Ability to explore and work with large volumes of data.
• Ability to translate business problems into analytical problems and convert results into actionable recommendations.
• Critical thinking, analytical curiosity, and the ability to question hypotheses.
• Autonomy, results orientation, and the ability to work with technical and business teams.
• Good communication skills to explain complex concepts clearly and adapted to different interlocutors.
• Sufficient level of English to work in technical and professional environments.

We would also love it if you have experience in...

• Pricing or revenue management.
• Elasticity, propensity, or churn models.
• Customer Lifetime Value.
• Optimization.
• Causal inference / experimentation.
• Google Cloud / BigQuery / Vertex AI.
• Generative AI and new AI tools applied to analytics.
• Financial services.

• Complex analytical problems with real business impact.
• Large volumes of data and multiple areas of application.
• End-to-end projects: from problem identification to implementation and measurement.
• Direct contact with business, transformation, and technology teams.
• Space to experiment with new methodologies, ML, and generative AI.
• Development of a differentiating profile that combines Data Science, business, and decision-making.

The job position would be in Central Services in Madrid or Barcelona.

Querying, structuring, and analyzing large volumes of data using statistical and programming skills to identify patterns and extract valuable insights for the organization. Able to communicate insights clearly and in a structured manner through presentations and/or dashboards.