Data business analyst in fintech

As a Global FinTech market leader and ASX listed company, Bravura is a trusted partner to over 350 leading financial services clients. We invest significantly in our technology hubs and innovation labs to develop cutting-edge, digital-first technology solutions that support our clients and their customers. The Senior Data Business Analyst will play a key role in Bravura’s enterprise data transformation. Reporting to the Head of Enterprise Applications, you will bridge business needs and technology, leading analysis across enterprise data, reporting and analytics, data migration and system integration.

• Lead business analysis across data platforms, reporting, analytics, migration and data quality, translating business needs into requirements, user stories and acceptance criteria.
• Analyse end-to-end data flows and impacts, define source-to-target mappings, data definitions, lineage and data quality controls, and support data governance and prioritisation
• Lead analysis of APIs, file-based, middleware, event-driven and batch integrations, defining mappings, transformations, dependencies and validation requirements.
• Support data, integration and UAT testing, tracing transactions across systems to identify root causes of defects and data discrepancies.
• Facilitate workshops and work with business stakeholders, architects, data owners, delivery teams and vendors to bring clarity to complex requirements.
• Maintain traceability from business need through design and testing, support release readiness, and help establish consistent BA practices, templates and quality standards.

• Significant experience as a Data Business Analyst in an enterprise data or applications environment, with experience across data platforms, reporting, migration or integrations.
• Strong requirements elicitation, stakeholder management, process mapping, data analysis and documentation skills.
• Practical experience with data mapping, lineage, data quality, validation, reconciliation and acceptance testing.
• Working knowledge of data architecture, data flows, warehouses/lakes, pipelines, semantic models and data governance.
• Experience with on-premise and cloud data technologies, such as SQL Server, ETL, SSRS, AWS, Snowflake, Microsoft Fabric, Power BI or Tableau.
• Strong analytical and communication skills, with the ability to translate complex business, data and technology topics into clear, actionable requirements.
• Comfortable working independently in a global, hybrid and matrix organisation.
• Familiarity with Agile delivery methodologies.
• Будет плюсом: SQL or comparable querying skills for data exploration and validation; Experience with enterprise applications such as Workday HCM/Finance, ServiceNow or Certinia PSA; Experience with Jira, Azure DevOps and process mapping tools such as Visio, Lucidchart or Miro; Experience with IBM Planning Analytics (TM1); BCS, IIBA (CBAP/CCBA) or equivalent certification

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