CAIXABANK S.A.

DATA ANALYST - EXPERIENCIA DE CLIENTE

CAIXABANK S.A. Barcelona, Catalonia, Spain

Banking · 10,001+ employees

2 d ago
data-analyst Mid (2-5 yrs) Full-time Spain
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About the role

The Data Analyst will transform structured and unstructured data into actionable business insights through ad-hoc analysis, process automation, and KPI definition. They will also manage stakeholder relationships and lead the migration of analytical processes to the cloud.

What they look for

SQL Python Data analysis Data visualization QlikSense Looker Git Airflow Statistical analysis Dashboard creation Process automation Stakeholder management KPI definition Cloud platforms Data discovery Business intelligence

Requirements

Candidates must hold a Bachelor's degree in Science or Engineering and possess strong proficiency in SQL, Python, and data visualization tools. Experience in the banking sector and familiarity with cloud platforms like Google Cloud or AWS are highly valued.

Benefits

Health insurance Pension plan Flexible remuneration Transport allowance Training Language courses Childcare Remote work Flexible start times

Full description

CaixaBank is a financial group with a socially responsible, long-term universal banking model, based on quality, trust, and specialisation, which offers a value proposition of products and services adapted for each sector, adopting innovation as a strategic challenge and a distinguishing feature of its corporate culture, and whose leading position in retail banking in Spain and Portugal makes it a key player in supporting sustainable economic growth.

Which projects do we work on?

We are seeking a Data Analyst to drive the development of the bank's information layer and deliver direct value to the business and management. The mission is to transform data—both structured and unstructured—into actionable insights that foster a better understanding of the business, the market, and our customers, while identifying opportunities for improvement and growth.

The successful candidate will join a cross-functional team and play a key role as an end-to-end analyst, combining ad-hoc analysis, process automation, KPI definition, and dashboard creation with active participation in migrating our processes and projects to the cloud.

This role is ideal for a proactive individual with strong analytical skills, curiosity, and a desire to take on a broad, impactful role within the team.

Responsibilities include:

Stakeholder management (management and business units)

  • Regular interaction with management and business units to understand needs and translate them into data-driven solutions.
  • Prioritization and planning of projects and recurring requests.
  • Managing expectations, tracking progress, and communicating results.

Executing projects covering the full information analysis lifecycle

  • Gathering business information requirements.
  • Data exploration within the Datapool and/or external sources—ranging from data retrieval and processing to generating the necessary information.
  • Proposing and creating KPIs.
  • Building reports and analyses to present the information.
  • Communicating results to stakeholders.
  • Designing, developing, maintaining, and automating processes for recurring monitoring or ad-hoc requests.

To perform these functions, the following are required:

  • Technical knowledge to produce reports requested by the business.
  • Analytical skills to understand business logic and propose new ideas or strategies to drive business growth.
  • Strong communication and interpersonal skills, as well as creativity and attention to detail regarding data visualization and communication.

Minimum requirements

  • Bachelor's degree in Science or Engineering.
  • Strong analytical and data management skills, utilizing database analysis and processing tools: high proficiency in SQL; fluency in Data Discovery, statistical analysis, Python, Git, and Airflow; background in programming languages.
  • Creation of dashboards using visualization tools such as QlikSense, Looker, etc.
  • Advanced proficiency in office software (Excel, PowerPoint, etc.).

The following will be valued:

  • Experience working with or analyzing customer experience (NPS, touchpoints, etc.).
  • Prior experience with Google Cloud or other cloud platforms (AWS, etc.).
  • Prior experience in the banking sector within analytics or BI departments.

Key competencies

  • Management of large data volumes
  • Management of information projects (liaising with clients and suppliers)
  • Ability to translate business requirements into technical specifications
  • Proactive, enthusiastic, committed, and collaborative
  • Flexible profile with the ability to adapt to change
  • Strong communication and interpersonal skills
  • Business and customer experience orientation
  • Definition and tracking of commercial KPIs

What do we offer?

  • Join the most innovative bank in Western Europe, as recognized by the "The Innovators" awards from the US magazine *Global Finance*.
  • Onboarding program and personalized support for your professional development.
  • Individual training path with access to our online platform, offering an extensive catalog of self-learning resources to foster your continuous growth.
  • Comprehensive health insurance provided entirely free of charge. You will also be enrolled in the pension plan, to which CaixaBank makes contributions with your future in mind.
  • Flexible remuneration options covering transport, training, language courses, childcare, and more.
  • Flexibility measures (remote work, flexible start times).
  • We hold Top Employer certification, recognizing us as one of the best companies to work for.

Job profile

Consult, structure and analyze large volumes of data using statistical and programming capabilities in order to find patterns and extract valuable insights for the entity. Is able to communicate insights in a clear and structured way through presentations and/or dashboards.

Skills

HARD SKILLS

DATA PROTECTION AND REGULATIONS

METHODOLOGIES FOR COLLABORATION IN CODE DEVELOPMENT AND VERSION CONTROL

PROGRAMMING LANGUAGES

DATA STORYTELLING

TECHNICAL DOCUMENTATION

DATA VISUALIZATION

DEFINITION, IMPLEMENTATION, AND MONITORING OF INDICATORS

DATA PREPARATION/MOVEMENT TOOLS

BUSINESS INSIGHTS

STATISTICS AND DESCRIPTIVE MODELS

AI LITERACY

SOFT SKILLS

ALLIANCES – COLLABORATION AND TRANSVERSALITY

ALLIANCES – COMMUNICATION

ALLIANCES – INFLUENCE

ALLIANCES – CUSTOMER ORIENTATION

HUMANISM – COMMUNICATION AND EMPATHY

HUMANISM – LEADERSHIP AND TEAM DEVELOPMENT / SELF-LEADERSHIP

ANTICIPATION – ANTICIPATION AND CHANGE MANAGEMENT

EMPOWEREMENT – FOCUS ON RESULTS

DIVERSITY – PROMOTING DIVERSITY

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