Capco

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

Poland - Warsaw
Level
Mid
Work type
Hybrid · Warsaw

Not stated in the posting: salary, visa.

Open. First seen 3 November 2026.

About the role

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.
  • 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

What this role asks for

Standard for data / BI analysis roles

Python · SQL

Common in data / BI analysis postings at any company.

Compared with Capco's other open jobs.

The team: Data & Analytics HIRES STEADILY

This role is one of 84 open in Data & Analytics. 17 were posted in the last 30 days and the oldest in October: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Azure (35 of 84), Python (35 of 84), SQL (33 of 84), Agile (30 of 84), GCP (28 of 84), CI/CD (26 of 84), AWS (24 of 84)

OTHER ROLES ON THIS TEAM

From the team and dates on Capco's own job board.

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