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Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value. We are seeking for a Senior Business Analyst for our client from the banking sector. Job description: Supported BCBS239-compliant data governance, documentation, and regulatory reporting initiatives related to securitisation. Documented end-to-end data lineage and data governance processes to ensure regulatory compliance. Executed and supported User Acceptance Testing (UAT), including test automation activities. Analyzed and mapped business requirements to data and reporting solutions. Reviewed and validated data requirements, ensuring completeness and alignment with business needs. Provided support for data products, resolving data-related issues and enhancing data usability. Collaborated with Treasury, Product Owners, Business Intelligence, and IT teams to define accurate source-to-target mappings. Implemented and monitored data quality controls to improve data accuracy and consistency. Requirements Banking and regulatory reporting knowledge (COREP, ESMA securitisation reporting) Strong understanding of securitisation reporting structures SQL proficiency Experience working with DWVault and BDS queries Source-to-target data mapping Data quality testing and validation Data reconciliation Data governance and data lineage documentation Business process documentation BPMN 2.0 Data dictionaries and glossary management Lineage diagram creation and maintenance Business requirements analysis and mapping UAT planning, execution, and documentation Stakeholder management and cross-functional collaboration Experience documenting data models, reporting architecture, and data flows Strong analytical and problem-solving skills Fluent English (spoken and written) Nice to Have Skills: AWS experience Data Mesh familiarity Test automation scripting Experience with BCBS239 data governance frameworks Benefits Diverse and technically challenging projects. Flexible working hours and a hybrid or remote workplace model. Flexible schedule and an Agile/SCRUM environment. Technical equipment that you can choose.