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Capco

Data Analytics Specialist

Capco is hiring a Data Analytics Specialist 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 SQL, Python and PySpark.
  • Level lists 720 other open roles at Capco.
  • The role was posted in the last few days.

AI in this role

Analyze and transform complex datasets for regulatory reporting in the banking sector using SQL and Python.

SQLPythonPySparkGitGitHubJupyter Notebook
data-analysisetldata-qualityregulatory-reporting

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.

#LI-HYBRID

How we rate this

Data Analytics Specialist at Capco rates 0 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Data AnalysisETLData QualityRegulatory ReportingSQLPythonPySparkGit

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$114k

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

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where data quality was part of your work. What did you do?
  4. Tell me about a project where regulatory reporting was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, ETL, Data Quality, Regulatory Reporting, and SQL. 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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