Data Analyst – Python, SQL & PySpark (Financial Services)
- Warsaw, Poland
- Mid Level
- Posted
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.
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