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Capco

Data Analytics Specialist

Posted 55 Minutes Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Poland
Entry level
Remote or Hybrid
Hiring Remotely in Poland
Entry level
Analyze, transform, and validate large datasets for banking and regulatory reporting projects. Investigate data quality issues, develop ETL transformations, document mappings and findings, and collaborate with data engineers, business analysts, and stakeholders. Support data preparation for corporate client, financial product, ESG, and management reporting using SQL, Python, and PySpark.
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Data Analytics Specialist

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.

Experience within banking industry would be highly appreciated.

 

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

  • UoP 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

  1. Recruiter screening
  2. Capco technical interview
  3. Client interview
  4. Feedback and offer

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

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