Data Analyst – Python, SQL & PySpark (Hybrid Banking)

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

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.