Data Analyst (pl / sql)

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. 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 Elvárások / Requirements Bachelor’s degree in Computer Science, IT, or a related field Proven experience as a Data Analyst, preferably within banking or financial services Familiarity with Kolibri or other banking-specific data compliance tools 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 Amit nyújtunk / Benefits Opportunity to gain MS certifications Flexible working conditions Opportunity for professional development Freedom to develop independent processes within your team. Our client believes that employees deliver better results when given autonomy and responsibility. Open communication; through a flat organizational hierarchy, they are agile and able to respond as a cohesive team