Senior Business Analyst

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SeniorFull-time
#395145·Dodano 14 dni temu·1
Źródło: Softeta
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Tech Stack / Keywords

BackendAITestingTest AutomationSQLArchitectureAWSScripting

Firma i stanowisko

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. They specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are essential. The company has over 100 AI and custom software experts based in engineering hubs in Lithuania and Poland.

Wymagania

  • Banking and regulatory reporting knowledge (COREP, ESMA securitisation reporting).
  • Strong understanding of securitisation reporting structures.
  • Proficiency in SQL.
  • 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.
  • Knowledge of 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:

  • AWS experience.
  • Data Mesh familiarity.
  • Test automation scripting.
  • Experience with BCBS239 data governance frameworks.

Obowiązki

  • Support BCBS239-compliant data governance, documentation, and regulatory reporting initiatives related to securitisation.
  • Document end-to-end data lineage and data governance processes to ensure regulatory compliance.
  • Execute and support User Acceptance Testing (UAT), including test automation activities.
  • Analyze and map business requirements to data and reporting solutions.
  • Review and validate data requirements, ensuring completeness and alignment with business needs.
  • Provide support for data products, resolving data-related issues and enhancing data usability.
  • Collaborate with Treasury, Product Owners, Business Intelligence, and IT teams to define accurate source-to-target mappings.
  • Implement and monitor data quality controls to improve data accuracy and consistency.

Benefity

  • 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 the employee can choose.
Elastyczne godziny
Softeta

Softeta

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