Data Analyst – Python, SQL & PySpark (Financial Services)

Capco Poland; Województwo mazowieckie; Híbrido; PLN 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working model

Access to modern data technologies

Professional development opportunities

Descripción de la vacante

Capco Poland seeks an experienced Data Analyst to join an international project for a leading global bank. You will analyse large datasets, transform data using SQL and Python, and support regulatory reporting with PySpark and ETL processes.

The role combines hands-on data work with ESG and regulatory awareness, requiring fluent English. The position offers a hybrid work model in Kraków or Warsaw, access to modern data technologies, and collaboration across data engineers and business analysts.

Formación

• Strong SQL skills including joins, CTEs, aggregations, and data validation.
• Hands-on Python (Pandas) experience for data analysis and transformations.
• Practical PySpark experience for large-scale data processing.
• Experience using Git and GitHub for version control.
• Familiarity with ESG concepts is a plus.
• Experience working with large, complex datasets.

Responsabilidades

• Analyse, transform, and validate large datasets using SQL, Python, and PySpark.
• Investigate data quality issues and identify root causes.
• Develop and validate data transformations and ETL processes.
• Work with data related to corporate clients, financial products, and reporting.
• Collaborate with data engineers, business analysts, and other stakeholders.
• Document data mappings, transformation rules, and analytical findings.
• Support data preparation for regulatory and management reporting.

Conocimientos

SQL

Python (Pandas)

PySpark

Git & GitHub

Data analysis

ETL processes

English fluency

Herramientas

Jupyter Notebook

Prophecy

Descripción del empleo

Data Analyst – Python, SQL & PySpark (Financial Services)

About Capco

Capco is a global technology and management consultancy specialising in financial services. We work with leading banks on data, technology, and transformation projects.

The Role

We are looking for an experienced Data Analyst to join an international project for a leading global bank.

The project focuses on data and regulatory reporting within the corporate clients segment.

You will work with large and complex datasets, analyse and transform data, investigate data quality issues, and collaborate closely with business and technical teams.

The role combines hands-on data analysis with exposure to ESG and regulatory reporting.

Familiarity with ESG concepts would be beneficial, while the key requirements are strong data analytics skills and a willingness to further develop knowledge in this area.

What You’ll Do

• Analyse, transform, and validate large datasets using SQL, Python, and PySpark.


• Investigate data quality issues and identify their root causes.


• Develop and validate data transformations and ETL processes.


• Work with data related to corporate clients, financial products, and reporting.


• Collaborate with data engineers, business analysts, and other stakeholders.


• Use Git and GitHub for version control and team collaboration.


• Document data mappings, transformation rules, and analytical findings.


• Support data preparation for regulatory and management reporting.

What We’re Looking For

• Experience working as a Data Analyst or in a similar data-focused role.


• Strong SQL skills, including joins, CTEs, aggregations, and data validation.


• Hands-on experience with Python, particularly Pandas.


• Practical experience with PySpark and large-scale data processing.


• Experience using Git and GitHub.


• Experience working with large and complex datasets.


• Understanding of ETL processes, data transformations, and data quality.


• Strong analytical and problem-solving skills.


• Good communication skills and fluent English.

Nice to Have

• Experience in banking or financial services.


• Understanding of ESG, regulatory reporting, SREP, or EBA reporting.


• Knowledge of corporate banking, credit risk, or financial exposures.


• Experience with Jupyter Notebook or Prophecy.

What We Offer

• B2B contract.


• Hybrid working model.


• Opportunity to work on an international banking project.


• Access to modern data technologies.


• Collaborative working environment and professional development opportunities.i
  
• Opportunity to develop knowledge of ESG and regulatory reporting.

Recruitment Process

• Recruiter screening


• Capco technical interview


• Client interview


• Feedback and offer

Location: Kraków or Warsaw - hybrid model, with office attendance depending on project needs.#LI-HYBRID