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 and Data 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.