Senior Data Anlyst

Role Responsibilities:

Strategy:

• Analyze and understand business requirements, documenting user stories in detail.
• Articulate and present requirements clearly and concisely through documentation.
• Manage key stakeholder expectations by communicating frequently with both business and delivery teams.
• Ensure requirements align with the Bank's strategy and objectives.
• Leverage business banking domain knowledge to ensure alignment with banking practices.
• Collaborate with Product Management and Delivery Teams to support project success.
• Actively mitigate impediments impacting team completion of Release and Sprint Goals.
• Engage with cross-functional teams to understand the system ecosystem and architecture related to the ESG Domain.

Data Requirement Management:

• Manage backlogs, epics, and user stories with the ESG team.
• Maintain a benefit view for all backlog items to assess impacts quickly.
• Prioritize backlog items based on business requests.
• Monitor and evaluate progress across delivery, coordinating with the ESG and Capgemini teams.

Development and Deployment Management:

• Coordinate development activities with the ESG and Capgemini teams.
• Perform ad hoc issue investigation and resolution with the squad, communicating fix dates to users.
• Engage stakeholders and escalate issues as necessary to expedite resolution.
• Ensure process governance standards are met, producing and archiving required artifacts.
• Engage with Operational Risk, Business, Tech Compliance, Responsible AI council, process owners, ICS, and other stakeholder teams as needed to obtain necessary approvals for deployment.

Collaboration and Communication:

• Build effective working relationships across functions and borders.
• Manage a diverse stakeholder community to deliver change across multiple functions.
• Apply industry knowledge and experience to identify and recommend change solutions.
• Write detailed business requirements and functional specification documents.
• Gain agreement on detailed requirements from project stakeholders.
• Facilitate specifications work between vendors and internal technology teams.
• Plan required testing, ensuring traceability between business requirements and test cases.
• Conduct functional testing of delivered functionality, documenting issues and managing resolutions.
• Provide specialist support to business users during User Acceptance Testing (UAT).
• Implement Agile Scrum methodology concepts to drive project success.

Qualifications:

• Bachelor's Degree in Data Analytics, Information Technology or IT equivalent
• Min. 5-10 years relevant working experienced with large enterprise solutions
• Prior background working in IT Consulting for Banking/Financial Services domain (highly valued)