Data Analytics Specialist
At a glance
Mid-level Data Analysis & BI role at Capco. Warsaw.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Use SQL, Python and PySpark to check, reshape and validate large datasets
- Trace data-quality problems to their causes and build reliable data transformations and ETL flows
- Work with corporate-client, financial-product and reporting data, preparing it for regulatory and management reports
- Coordinate with data engineers, business analysts and other stakeholders, using Git and GitHub to manage shared work
- Record data mappings, transformation logic and analytical findings for the project
What you bring
- You have worked as a data analyst or in a comparable data-focused position
- Strong SQL skills, including joins, CTEs, aggregations and data checks, are required
- You bring practical Python experience, especially with Pandas, plus hands-on PySpark work on large datasets
- You have used Git and GitHub and understand ETL, data transformations and data quality
- Fluent English and strong analytical and problem-solving skills are required
Who this fits
This role suits a mid-level data analyst comfortable handling complex data and working with business and technical colleagues. Banking experience is valued, while familiarity with regulatory reporting, corporate banking or credit risk is an advantage rather than a stated requirement. The role is hybrid in Kraków or Warsaw, with office attendance based on project needs.
From the employer
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
- Recruiter screening
- Capco technical interview
- Client interview
- Feedback and offer
Location: Kraków or Warsaw - hybrid model, with office attendance depending on project needs.
Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Analysis & BI
Find me workBy the team behind dataroles.