Reporting & Analytics Analyst

U.S. Bank•St. Louis, MO

1d•$119,765 - $140,900•Hybrid

About The Position

U.S. Bank is seeking a highly technical Reporting & Analytics Analyst to help modernize enterprise reporting, analytics, and data platforms supporting Commercial Banking, Business Banking, Wealth Management, and Sales. The role partners in evolving the analytics ecosystem and uses platforms including Salesforce, nCino, PrecisionLender, Tableau, Snowflake, Databricks, and emerging cloud technologies to deliver scalable data solutions, advanced reporting, and actionable insights. The analyst combines analytical and business acumen with hands-on data engineering, cloud analytics, enterprise reporting architecture, and large-scale data migration experience. The role bridges business needs and technical execution while supporting strategic transformation across CRM, reporting, and cloud data environments.

Requirements

Bachelor's degree in Business, Analytics, Information Systems, Computer Science, Data Science, or a related field, or equivalent work experience.
At least 5 years of experience in analytics, business intelligence, data engineering, reporting, or related disciplines.

Nice To Haves

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 with measurable outcomes such as revenue growth, improved sales effectiveness, client retention, operational efficiency, or profitability.
Advanced SQL skills, including complex query development, performance optimization, and data transformation.
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, 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.
Demonstrated experience executing analytics or data modernization initiatives from concept through implementation.
Experience building solutions within Snowflake, Databricks, Tableau Cloud, Salesforce Data Cloud, or similar environments.
Experience leading or contributing to enterprise data migration efforts.
Experience designing scalable analytics architectures and reporting ecosystems.
Ability to translate complex technical concepts into actionable business insights.
Experience working across technical and business teams to drive adoption and measurable outcomes.

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 moving reporting capabilities to 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 to enable consistent, 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 identify trends, opportunities, and operational insights.
Use SQL, Python, and modern cloud technologies to automate analytics workflows and improve data accessibility.
Ensure analytics solutions incorporate data quality, governance, security, and compliance standards.
Support 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.

Benefits

Healthcare coverage, including medical, dental, and vision.
Basic term and optional term life insurance.
Short-term and long-term disability coverage.
Pregnancy disability and parental leave.
401(k) and employer-funded retirement plan.
Paid vacation of 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 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
Incentive and recognition programs.
Equity stock purchase, 401(k) contribution, and pension, subject to eligibility requirements.