Data Analyst - Business and Pricing Analytics

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.

• Analyze large volumes of data to generate information and insights that support decision-making.
• Build and evolve indicators, information systems, and dashboards for monitoring prices, profitability, approvals, campaigns, and customer behavior.
• Design and automate recurring data processes, improving their efficiency, robustness, traceability, and scalability.
• Translate business, analytics, and modeling needs into data and analytics solutions.
• Coordinate with data and technology to guarantee the quality and availability of information and to industrialize solutions.

We are looking for a Data Analyst to join the Business and Pricing Analytics team, where we work to transform customer and business data into information, insights, and tools that help make better decisions.

We are looking for a profile that combines analytical capacity with a clear orientation toward automation, data quality, and process efficiency, helping us build an increasingly robust, accessible, and scalable ecosystem of data, information, and analytical tools.

• Information that drives decisions: building systems to track prices, approval levels, profitability, campaigns, and other relevant business variables.
• Business Intelligence: developing descriptive analyses, indicators, and dashboards that convert large volumes of data into clear and actionable information.
• Automation: transforming manual or recurring processes into efficient, robust, and scalable solutions.
• Reliable and accessible data: contributing to ensuring that analytics teams have the necessary data, with quality, traceability, and availability.
• Analytical tools: developing and evolving solutions that facilitate analysis and decision-making.
• End-to-end vision: understanding the business need, identifying the necessary data, and building a solution that can be maintained and evolved over time.

• SQL and Python.
• Large volumes of data.
• Google Cloud Platform / BigQuery.
• Visualization and Business Intelligence tools.
• Data transformation and automation processes.
• Generative AI and assistants to accelerate development and analysis.

We are looking for profiles that enjoy moving between data, business, and technology. People capable of exploring millions of records using SQL, building an efficient data process, and then transforming that information into a dashboard or analysis that allows a business team to understand what is happening and where to act.

• Quantitative or technological background: Engineering, Computer Science, Mathematics, Statistics, Quantitative Economics, Data Science, or similar.
• Very good command of SQL and knowledge of Python for analysis and automation.
• Experience developing dashboards, indicators, or information systems.
• Ability to understand data structures and build efficient transformation and exploitation processes.
• Critical thinking and analytical curiosity to identify patterns, anomalies, and opportunities in the data.
• Autonomy, results orientation, and the ability to work with technical and business teams.
• Sufficient level of English to work in technical and professional environments.

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

• Automation and optimization of analytical processes.
• Design and construction of data pipelines.
• Design of data models oriented toward analytics and reporting
  Google Cloud / BigQuery.
• Pricing, profitability, or commercial analytics.
• Generative AI applied to analysis, automation, or development.

• Information and analysis with a direct impact on business decisions.
• Construction and evolution of information systems used by different teams.
• Direct contact with business, analytics, modeling, data, and technology.
• Development of a differentiating profile that combines Data Analytics, business, and technology.

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.

S.2.2 HUMANISM - LEADERSHIP AND TEAM DEVELOPMENT / SELF-LEADERSHIP