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Our client empowers organizations worldwide to strategically acquire and optimize software investments, embrace cloud and AI technologies, and drive innovation through enhanced efficiency.
They are a trusted advisor in strategic software acquisition, continual IT estate optimization, and maximizing returns on investments in cloud, data, and AI.
Job description
Analyze and interpret complex datasets related to banking products (credits, loans, etc.)
Perform reverse engineering on existing SQL code and data models
Collaborate with stakeholders to gather requirements and translate them into clear documentation
Support data compliance efforts and work closely with internal and client-side data governance teams
Work with data engineering teams to understand and enhance data warehouse structures
Contribute to banking model design and support domain-specific analytics initiatives
Requirements
Bachelor’s degree in Computer Science, IT, or a related field
Proven experience as a Data Analyst, preferably within banking or financial services
Strong SQL and PL/SQL skills, with ability to write complex queries and conduct reverse engineering
Solid understanding of data warehousing concepts
Familiarity with banking terminology and processes, particularly in the areas of lending and credit
Experience in writing clear, structured technical documentation
Hands-on experience with Databricks
Experience working with data compliance frameworks
Information
Szilvia Gál -