Senior Business and Data Analyst

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SOFTETA

11 - 50 employees

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

SOFTETA is a leading IT service provider specializing in custom software development, digital transformation, and IT consulting for businesses of all sizes. From early-stage discovery to full-scale implementation, SOFTETA offers a comprehensive range of services including front-end and back-end development, AI and data solutions, and quality assurance. They partner with industry leaders globally to deliver tailored technology solutions that enhance business growth and efficiency. With a team capable of rapid scaling and delivering end-to-end solutions, SOFTETA ensures seamless execution and successful project outcomes for enterprises and startups alike.

📋 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.

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