CapcoData Analyst – Python, SQL & PySpark (Financial Services)
Capco is hiring a Data Analyst – Python, SQL & PySpark (Financial Services) in Warsaw, Poland. Level rates it ; you can apply on Capco.
Level's read on this job
- Little AI ●○○○ is how Level rates this data analyst role: aI is not part of the work.
- The posting allows some remote work.
- Tools and skills the posting cites include Python, SQL and PySpark.
- Level lists 687 other open roles at Capco.
- The role was posted in the last few days.
AI in this role
Data analyst working with Python, SQL, and PySpark on financial services data and regulatory reporting projects.
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
How we rate this
Data Analyst – Python, SQL & PySpark (Financial Services) at Capco rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $112k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Tell me about a project where regulatory reporting was part of your work. What did you do?
- Tell me about a project where financial services was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analysis, ETL, Data Quality, Regulatory Reporting, and Financial Services. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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