Data Scientist - Commercial Models

To succeed in this role, you will need:

• Technical knowledge to carry out the reports requested by the business.
• Analytical skills to understand the business logic and propose new ideas or strategies that help drive it forward.
• Strong communication and interpersonal skills, as well as creativity and attention to detail in data visualization and information delivery.
• A university degree in science or engineering.
• Strong data analysis and management skills, with experience using data analysis and database tools: advanced SQL, proficiency in Data Discovery and Statistical Analysis, Python, GIT, Airflow. Programming language training.
• Experience building dashboards with visualization tools such as QlikSense, Tableau, Looker, etc.
• Advanced office suite skills (Excel, PowerPoint, etc.).

• Experience working with or analyzing different customer relationship channels (digital, branch, etc.).
• Previous experience with Google Cloud or other cloud platforms (AWS, etc.).
• Previous experience in banking within analytics/BI departments.

• Be part of the most innovative Bank in Western Europe, according to The Innovators awards from the American magazine Global Finance.
• Onboarding program and personalized support for your professional development.
• Individual training plan with access to our online platform, which offers an extensive catalog of self-learning resources to foster your continuous growth.
• You will have a complete health insurance plan entirely free of charge for you. In addition, you will be enrolled in the Pension Plan, to which CaixaBank will make contributions with your future in mind.
• Flexible compensation applied to transportation, training, languages, childcare, among others.
• Flexibility measures (remote work, flexible entry).
• We hold the Top Employer certification, which recognizes us as one of the best companies to work for

Consults, structures, and analyzes large volumes of data using statistical and programming capabilities. Is able to develop and implement analytical solutions (e.g., dashboards, predictive models) to address the business needs of the entity in a holistic manner (i.e., from understanding the problem to implementation and monitoring). Knows and uses best practices in software development and machine learning models. Is able to communicate the insights/results of the analytical solution clearly and structured through presentations and/or dashboards.

We are looking for a Data Analyst to drive the development of CaixaBank's information layer and deliver direct value to the business and management. Your mission will be to transform data—both structured and unstructured—into actionable insights that enhance our understanding of the business, the market, and our customers, while identifying opportunities for improvement and growth. You will be part of a cross-functional team and play a key role as an end-to-end analyst, combining ad-hoc analysis, process automation, KPI definition, dashboard development, and active involvement in migrating our processes and projects to the cloud.
This role is ideal for someone with initiative, strong analytical skills, curiosity, and a desire to take on a broad, high-impact role within the team.

Your responsibilities will include:

• Managing relationships with clients (business units and management areas).
• Acting as a regular point of contact with business units and management areas to understand their needs and translate them into data-driven solutions.
• Prioritizing and planning projects and recurring requests.
• Managing expectations, monitoring progress, and communicating results.
• Executing projects that cover the full data analysis cycle.
• Gathering business information requirements.
• Exploring data from Datapool and/or external sources—from data extraction to processing—to generate the required information.
• Proposing and generating KPIs.
• Building reports and analyses to present information.
• Communicating results to clients.
• Designing, developing, maintaining, and automating processes for recurring reporting or ad-hoc requests.

• Experience managing large volumes of data.
• Experience managing information projects (client and vendor relationships).
• Ability to translate business requirements into technical specifications.
• A proactive, enthusiastic, and committed person who enjoys collaboration.
• A flexible profile with the ability to adapt to change.
• Strong communication and interpersonal skills.
• A business-oriented mindset focused on customer experience.
• Experience defining and tracking commercial KPIs.