Role Overview
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.
What You Will Do
Analyse, transform, and validate large datasets using SQL, Python, and PySpark. Investigate data quality issues and identify their root causes.
Why It Might Be a Fit
Experience working as a Data Analyst or in a similar data-focused role. Strong SQL skills, including joins, CTEs, aggregations, and data validation.
Requirements
- 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.
Benefits
- 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.
To apply for this job please visit job-boards.greenhouse.io.
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