Advanced Analytics Analyst - Strategic Insights

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

NOTE: This position is not eligible for visa sponsorship.

We are seeking an experienced Advanced Analytics Analyst to join our Business Banking Analytics team within our Enterprise Analytics & Customer Experience (EACX) Department. This role involves a blend of descriptive statistics, data science, data visualization, advanced analytics, statistical analysis and data engineering to deliver insightful analysis and support strategic initiatives for our business partners in product, marketing and sales.

The ideal candidate will have a strong foundation in descriptive statistics, data analysis, data visualization, data science and data engineering, combined with expertise in partnering with business partners as well as strong strategic analysis and effective communication.

This candidate will be comfortable identifying and sourcing new data sources, extracting, manipulating and analyzing the data, leveraging data science concepts within their analysis, developing effective visualizations and dashboards, extracting actionable and impactful insights and the ability to partner, communicate and strategize with the business by leveraging the insights from the data.

Key Responsibilities:

• Descriptive Statistics & Data Analysis:

  • Utilize descriptive statistics to summarize and interpret business banking data, providing clear insights into trends, patterns, anomalies and opportunities.

  • Perform in-depth data analysis to support various business functions, ensuring data accuracy and actionable insights.

• Advanced Statistics & Data Science:

  • Apply advanced statistical methods and data science techniques, including predictive modeling and machine learning, to uncover trends and drive data-driven decision-making.

  • Develop and implement data science models to predict customer behavior, develop business rules and identify business opportunities.

• Dashboard & Reporting Development:

  • Design, develop, and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present key metrics and insights to stakeholders.

  • Ensure dashboards and reports are user-friendly, accurate, and aligned with business needs.

• Data Engineering:

  • Identify, source and manipulate new data sources and metrics for use in analysis.

  • Build and optimize data pipelines and ETL processes to ensure seamless integration and high-quality data availability for analysis.

  • Collaborate with data engineering teams to enhance data infrastructure and resolve data quality issues.

• Strategic Analysis:

  • Conduct strategic analyses to evaluate business performance, identify growth opportunities, and support strategic planning initiatives.

  • Provide actionable recommendations based on data-driven insights to guide business strategies and improve operational efficiency.

• Problem Solving:

  • Address complex business problems with innovative analytical approaches and solutions.

  • Work cross-functionally to define analytical requirements, develop solutions, and implement strategies to address business challenges.

• Strategic Mindset:

  • Develop a deep understanding of business banking dynamics and market trends to contribute to strategic initiatives and drive business transformation.

  • Ability to partner with product partners, marketing, strategic partners, customer experience, and various business partners to translate a business problem into an analytics exercise and ultimately an actionable recommendation.

• Presentation & Communication:

  • Communicate complex data findings and insights effectively to both technical and non-technical stakeholders through compelling presentations and reports.

  • Develop and deliver presentations that clearly articulate the value of analytical insights and recommendations using effective and easy