Sr Data Analyst in St Petersburg, FL (Hybrid)

The Data Analyst is responsible for supporting enterprise efforts underway to identify and document all business and technical metadata required to source data leveraged for various Enterprise deliverables outlined above. In addition, the Data Analyst will be responsible for supporting the documenting of all identified gaps related to Data Sourcing; collaborating with Technology to ensure that data effectively traverses from source to target systems; supporting the development and socialization of the appropriate metrics and progress reporting to various forums and councils; documenting and improving operational processes, including approval and escalation plans, data risk and controls adoption and implementation. The person in this role will partner with subject matter experts in Regulatory Reporting, Compliance, Technology, and others in the Category IV program to drive data strategy and continue to scale and improve the operating model for sourcing Enterprise data.

• Fully understand various data and reporting flows across the Regulatory Reporting areas to identify data sourcing gaps
• Support the identification and documentation efforts for all Enterprise data sets.

• Analyze and document the data flows from source to target systems into a Business Requirements document, identifying the data transformations that are required, as well as improvement opportunities for the data flows

• Use Ab Initio tool to load data catalogs, required business terms / definitions, link business to technical data elements, categorizing criticality of each data element, and working with IT to complete the data lineage from data sources to reports
• Correspond and execute deliverables aligned with principles, policies, frameworks and procedures laid at the firm or business unit or function levels as per the guidance from the Chief Administrative Officer heading up the Business Controls & Risk function.
• Collaborate with appropriate business stakeholders/remediation owners to implement data quality controls, help remediate data gap issues and improve processes to prevent future data concerns.
• Track, resolve and escalate issues for own projects while keeping relevant stakeholders informed.
• Maintain project deliverables including reporting and tracking status using PowerPoint, Excel, SharePoint, Teams and Microsoft Azure DevOps (TFS) tracking tool.
• Create effective presentations to be used with business audiences of various levels.
• Support day-to-day activities that align to data sourcing, and to optimize metrics and progress reporting processes.
• • Hands-on expertise in leveraging Domain Specific Languages such as SQL to retrieve, combine and manipulate large data sets.
  • Deep understanding of enterprise data management concepts, principles and current industry practices.
  • Strong soft skills in collaboration, facilitation, coordination, logistics, presentation, marketing, and excellent communication skills (both written and verbal).
  • Experience delivering data quality improvements in a complex, transforming, multi-national banking environment.
  • Organizational and planning skills, showing an ability to operate in a multi-geography, matrix organization; managing and where necessary leading activities through cross-functional teams, with the discipline to track delivery of complex deliverables over multiple months.
  • Excellent communication skills (both written and verbal), including the ability to present complex concepts and strategies successfully.
  • Demonstrated strong execution capabilities and entrepreneurial mindset to go above and beyond delivering core responsibilities.