Reporting & Analytics 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 We are seeking a highly technical Reporting & Analytics Analyst to help drive the modernization of enterprise reporting, analytics, and data platforms supporting Commercial Banking, Business Banking, Wealth Management, and Sales organizations. This role will serve as a key partner in the evolution of our analytics ecosystem, leveraging Salesforce, nCino, PrecisionLender, Tableau, Snowflake, Databricks, and emerging cloud technologies to deliver scalable data solutions, advanced reporting capabilities, and actionable business insights. Key Responsibilities Design, develop, and maintain enterprise reporting and analytics solutions across Salesforce, nCino, PrecisionLender, Tableau, Snowflake, Databricks, and related platforms. Lead or support reporting modernization and data migration initiatives, including transitioning reporting capabilities into cloud-based analytics environments. Develop scalable dashboards, KPI frameworks, scorecards, and self-service reporting solutions for business and executive stakeholders. Build and optimize data models, semantic layers, data pipelines, and reporting architectures that enable consistent and trusted business insights. Partner with business leaders, product teams, and technology partners to translate business requirements into technical analytics solutions. Integrate and analyze data from multiple enterprise systems to uncover trends, opportunities, and operational insights. Utilize SQL, Python, and modern cloud technologies to automate analytics workflows and improve data accessibility. Ensure data quality, governance, security, and compliance standards are incorporated into all analytics solutions. Support the evaluation and implementation of AI-enabled analytics capabilities, automation tools, and emerging technologies. Present findings, recommendations, and performance insights to business leaders and executive stakeholders. Required Qualifications Bachelor's degree in Business, Analytics, Information Systems, Computer Science, Data Science, or related field, or equivalent work experience. 5+ years of experience in analytics, business intelligence, data engineering, reporting, or related disciplines. Preferred Qualifications Direct experience with Salesforce reporting, CRM Analytics, Data Cloud, and Agentforce. Experience supporting Salesforce, nCino, PrecisionLender, or comparable CRM and banking technology platforms. Experience leading or executing CRM, reporting, analytics, or cloud data migration initiatives. Knowledge of Salesforce-to-cloud analytics reporting architectures. Experience designing and supporting data pipelines and enterprise reporting ecosystems. Understanding of AI-enabled analytics, machine learning-assisted reporting, and analytics automation capabilities. Experience supporting Commercial Banking, Business Banking, Wealth Management, Lending, Treasury Management, or Financial Services organizations. Experience delivering analytics solutions that resulted in measurable business outcomes, including revenue growth, sales effectiveness, client retention, operational efficiency, or profitability improvements. Advanced SQL skills with experience developing complex queries, optimizing performance, and transforming data. Experience using Python for analytics, automation, data transformation, or reporting solutions. Hands-on experience with Snowflake, Databricks, Azure Synapse, or similar modern cloud data platforms. Experience building and maintaining Tableau or Tableau Cloud dashboards and reporting solutions. Strong understanding of ETL/ELT processes, data warehousing concepts, semantic data modeling, and cloud analytics architectures. Experience integrating data across multiple enterprise systems and platforms. Demonstrated ability to work directly with stakeholders to define requirements and deliver business-focused analytics solutions. The strongest candidates will bring demonstrated experience: Executing and delivering analytics or data modernization initiatives from concept through imple #J-18808-Ljbffr US Bank