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

Capco

Skills

Required

  • Python
  • data quality
  • ETL processes
  • data transformations
  • aggregations
  • data validation
  • Pandas

Preferred

  • SQL
  • PySpark
  • ESG / regulatory reporting / SREP / EBA reporting
  • Jupyter
  • Notebook / Prophecy
  • data analysis
  • Data Analyst – Python, SQL & PySpark (Financial Services)
  • 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.
  • 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.

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.

Responsibilities

About Capco

  • 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.
  • 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.
  • for version control and team collaboration.
  • Document data mappings, transformation rules, and analytical findings.
  • Support data preparation for regulatory and management reporting.

Requirements

  • Experience working as a Data Analyst or in a similar data-focused role.
  • skills, including joins, CTEs, aggregations, and data validation.
  • Hands-on experience with
  • Python, particularly Pandas.
  • PySpark
  • and large-scale data processing.

Experience using

  • 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.

Preferred

  • 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.

Benefits

  • 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.
  • 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.