Data Analyst - ESG & Regulatory Reporting (Hybrid)

Capco Group; Warszawa; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

B2B contract

Access to modern data technologies

Collaborative environment

Job summary

Capco is seeking an experienced Data Analyst to join an international project for a leading global bank. You will work with large and complex datasets, analyse and transform data, and support regulatory reporting within the corporate clients segment.

You will collaborate with data engineers and business stakeholders, applying SQL, Python, and PySpark to deliver reliable data insights while expanding knowledge of ESG and regulatory reporting. Fluent English is required.

Qualifications

• Experience as a Data Analyst or similar data-focused role
• Strong SQL skills including joins, CTEs, aggregations, and data validation
• Hands-on Python, particularly Pandas
• 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

Responsibilities

• Analyse, transform, and validate large datasets using SQL, Python, and PySpark.
• Investigate data quality issues and identify 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.

Skills

SQL

Python

PySpark

Git

Data analysis

ETL

Data quality

English

Tools

Git

GitHub

Jupyter Notebook

Prophecy

Job description

Capco is seeking an experienced Data Analyst to join an international project for a leading global bank. You will work with large and complex datasets, analyse and transform data, and support regulatory reporting within the corporate clients segment.

You will collaborate with data engineers and business stakeholders, applying SQL, Python, and PySpark to deliver reliable data insights while expanding knowledge of ESG and regulatory reporting. Fluent English is required.