Consumer Banking Business Analyst
Valley National Bancorp, Convent Station, NJ, United States
Job Responsibilities
Analyze trends, patterns, and performance drivers across consumer banking products, channels, and customer segments using reports and dashboards. Translate data and analytical findings into clear, concise insights and narratives that inform senior leadership decision-making. Develop high-quality executive presentations, including recurring performance readouts and ad hoc deep dives, for senior management and leadership forums. Serve as a key liaison between business stakeholders and data science / analytics teams to ensure dashboards, reports, and advanced analytics initiatives (including machine learning use cases) align with business needs and strategic objectives; help frame business problems, assess model performance, and interpret model outputs and key drivers to inform business decisions. Navigate, interpret, and leverage dashboards and reports built in Power BI to answer business questions and proactively identify emerging trends. Perform advanced analysis and modeling using Excel, including forecasting, scenario analysis, variance analysis, and performance tracking; leverage additional analytical tools where appropriate. Support continuous improvement of reporting and dashboard usage by identifying gaps, opportunities, and evolving business questions. Ensure analytical outputs are accurate, consistent, and clearly understood by non-technical audiences. Contribute to a culture of data-driven decision-making across the Consumer Bank.
Analyze trends, patterns, and performance drivers across consumer banking products, channels, and customer segments using reports and dashboards. Translate data and analytical findings into clear, concise insights and narratives that inform senior leadership decision-making. Develop high-quality executive presentations, including recurring performance readouts and ad hoc deep dives, for senior management and leadership forums. Serve as a key liaison between business stakeholders and data science / analytics teams to ensure dashboards, reports, and advanced analytics initiatives (including machine learning use cases) align with business needs and strategic objectives; help frame business problems, assess model performance, and interpret model outputs and key drivers to inform business decisions. Navigate, interpret, and leverage dashboards and reports built in Power BI to answer business questions and proactively identify emerging trends. Perform advanced analysis and modeling using Excel, including forecasting, scenario analysis, variance analysis, and performance tracking; leverage additional analytical tools where appropriate. Support continuous improvement of reporting and dashboard usage by identifying gaps, opportunities, and evolving business questions. Ensure analytical outputs are accurate, consistent, and clearly understood by non-technical audiences. Contribute to a culture of data-driven decision-making across the Consumer Bank.