Enterprise Analytics - Data 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.

Responsible for working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company. Acquires data from multiple data sources in order to perform analysis. Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action.

Interprets data and analyze results using various statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they activate upon them and make data driven decisions. Collaborate with various partners to provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments.

Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.

• 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

• Bachelor's degree in a related field, or equivalent work experience
• Six to eight years of statistical and/or data analytics experience

• Power BI certification preferred.
• Deep expertise in data visualization and analytics, predictive modeling, power BI and power point presentations.
• Experience with Azure Synapse and Databricks.
• Strong knowledge of business banking products, lending, payments, and financial services for small to mid-sized businesses.
• Proficiency in SQL, Python, SAS, Power BI, Tableau, or similar analytics tools.
• Strategic mindset with exceptional leadership, communication, and stakeholder management skills.
• Expert/advanced ability to align people and culture with changes in business strategy, structure, technology and business processes.
• Expert knowledge of and skills related to marketing technology stack and staying updated with technology trends including the ability to understand and familiarity with the concepts, principles, and techniques used in statistics.
• Expert/advanced ability to effectively plan, execute, and oversee the selection, evaluation, and ongoing management of vendors and agencies.

• Collaborate closely with data scientists, analysts, and strategists to cultivate a highly effective, innovative, and continuously learning team environment.
• Partner with senior executives and cross-functional teams (Business Line, Marketing, Technology, Product, and Digital) to align data analytics and…