Responsibilities

• Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover opportunities, and support strategic business decisions. Present findings that connect deep data insights to broader business objectives.
• Stakeholder Collaboration: Partner with marketing and business leaders to define analytical needs, translate them into technical requirements, and deliver actionable solutions and reporting. Collaborate closely with cross-functional teams, including ED&A, Private Bank, Wealth, Commercial, and Business Banking.
• Data Quality & Validation: Ensure data integrity through rigorous validation and testing. Proactively identify and resolve issues related to data bias, accuracy, or completeness.
• Optimization & Innovation: Use analytical techniques to identify business process improvements and operational optimizations through large-scale data analysis, automating where possible to improve efficiency and scalability.
• Ad Ad Hoc & Strategic Support: Respond to dynamic business requests while maintaining consistency and scalability in reporting. Drive a culture of iteration, efficiency, and automation.
• Data Infrastructure Development: Build and maintain robust data pipelines, ensuring reliable data flow for analysis and visualization.
• Visualization & Storytelling: Develop and enhance dashboards using BI tools such as Tableau, Power BI, or Looker to convey insights effectively to senior leadership. Document and communicate analytic results, insights and recommendations to both technical and non-technical audiences.