US Bank-posted 8 months ago
$119,765 - $154,990/Yr
Full-time • Mid Level
Minneapolis, MN
Credit Intermediation and Related Activities

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. 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.

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Develop a deep understanding of business banking dynamics and market trends to contribute to strategic initiatives and drive business transformation.
  • Communicate complex data findings and insights effectively to both technical and non-technical stakeholders through compelling presentations and reports.
  • Bachelor's degree in a related field, or equivalent work experience.
  • Six to eight years of statistical and/or data analytics experience.
  • Financial services experience.
  • Strong data querying skills using SQL and SAS.
  • Proficiency in descriptive and advanced statistical analysis and comfortable extracting, manipulating and analyzing large complex datasets.
  • Expertise in dashboard and report development using tools such as Tableau or Power BI.
  • Ability to understand and leverage data science and machine learning concepts in solving analytics challenges.
  • Excellent problem-solving abilities and a strategic mindset, with a proven track record of translating data into actionable business insights.
  • Success partnering with business stakeholders to bring together analytics with business knowledge to solve a business problem and provide insights & opportunities to stakeholder.
  • Strong presentation and communication skills, with the ability to effectively convey complex data findings to diverse audiences.
  • Self-starter with a strong attention to detail and an ability to deal with ambiguity.
  • Organized, disciplined, and can manage multiple projects simultaneously.
  • Certification in business analytics, data mining, data science or statistical analysis.
  • Master's Degree in Business Administration, Information Systems, Statistics, Business Analytics or Data Science.
  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (from two to five weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
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