Senior Data Visualization Analyst

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

At U.S. Bank, we are committed to driving banking forward with a customer-first approach. We empower our clients with data-driven insights and seamless experiences, ensuring they thrive in a rapidly evolving financial landscape. Our Enterprise Insights team is at the heart of this transformation, leveraging cutting-edge analytics, predictive analysis, artificial intelligence, and customer-centric insights and strategies to shape the future of financial services.

Role Overview

We have an exciting high visibility opportunity within our Marketing, Analytics & Customer Experience (MACX) organization supporting our Enterprise Analytics & Insights team. This Visualization Analyst will support our Enterprise Analytics and Insights team.

This data analytics professional will lead, strategize, execute, and optimize company efforts, leveraging data and insights to drive enterprise growth and effectively communicate with target audiences; analyze data and insights to evaluate business performance, drive growth, and inform strategic decision-making.

This individual will oversee data analysis and visualization of customer, product, channel, acquisition and attrition insights to generate actionable plans that support organizational decision making. This role oversees hands on analytics development, executive reporting, visualization and communications of key trends and insights.

This high-stakes role is centered on fulfilling data analytics needs for executive and C-suite, with direct responsibility and accountability for delivering actionable insights and strategic data analytics support. The individual will be tasked with building analytical capabilities, including developing reports, predictive models, segmentation frameworks, and predictive models. In addition, the leader will oversee a team of analysts that build Executive Insights, Attrition Analysis etc. and help our internal clients understand trends.

This includes key partnerships with multiple business lines and functions such as Consumer Banking, Business Banking, Corporate and Institutional Banking, & Wealth to manage data analytic projects.

U.S. Bank is focused on enhancing client service, building new capabilities, and driving efficiency across business units and corporate functions. As such, this individual must bring a desire to lead change on behalf of clients and colleagues alike, and be able to operate in a centralized, highly accountable construct. This individual must strike the right balance between leading change at a swift pace while maintaining a disciplined focus on Executive and the lines of business needs for data analytics.

Key Responsibilities

Data & Insights

• Act as SME for data visualization and power BI in the team
• Lead end-to-end analytics across the enterprise insights team, leveraging data insights to improve customer acquisition, retention, and profitability
• Identify and implement KPIs, dashboards, and performance metrics to drive business decision-making and operational efficiencies
• Utilize tools like SAS, SQL, Python, R, or other analytical software to analyze and interpret data
• Apply statistical methods to analyze data and derive meaningful insights
• Understand business goals and objectives to align insights strategies and outputs with overall business objectives and expected outcomes
• Analyze and synthesize data to produce predictive insights, supporting business and channel partners to inform business strategies and decision-making
• Present data and insights in a visually appealing and easily understandable format leveraging Power BI
• Identify, evaluate, and acquire relevant data sources and their locations, collaborate with data providers, ensure data quality and security, maintain infrastructure

Leadership & Collaboration

• Co-build a high-performing team of data scientists, analysts, and strategists, fostering innovation and continuous learning.
• Partner with senior executives and cross-functional teams (Business Line, Marketing, Technology, Product, and Digital) to align data analytics and insights with business objectives.
• Act as a thought