Job Title

This is a hybrid role requiring 3-4 days in the Chicago or San Fran office Key Responsibilities: + Insight Generation & Strategic Analysis + Partner with business leaders to identify opportunities and deliver impactful insights. + Conduct deep-dive analyses on banking products, client behavior, and performance trends. + Develop executive-ready presentations that translate data into strategic recommendations. + Technical Excellence + Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. + Build scalable analytical solutions and automate recurring processes. + Collaborate with the Sr. Manager and analytics team to improve data workflows and efficiency. + Cross-Functional Collaboration + Work closely with product, finance, and strategy teams to align analytics with business priorities. + Serve as a thought partner to stakeholders, helping them interpret data and make informed decisions We are seeking a highly analytical and business-savvy Manager, Data & Analytics to join our Data & Analytics team in our San Francisco or Chicago office. This role is ideal for someone who thrives at the intersection of data and strategyu2014someone who is passionate about uncovering insights that drive business decisions and has deep experience in banking products and client behavior. Youu2019ll work closely with senior business leaders, translating complex data into clear, actionable insights that influence strategy across sales, pricing, profitability, and client engagement + Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques. + Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability. + Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights. + Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization. + Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them. + Develops data visualizations of