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# Digital Analytics Analyst

- **Company:** U.S. Bank, National Association
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $111,095.0 - $130,700.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Business Intelligence Development, Big Data, Data Visualization, R (Programming Language), Apache Hadoop, Python (Programming Language), SAS (Software), SQL Databases, Web Analytics, Data Analytics
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5b43f9c4e7b7b2a5

## About the Role

* Bachelor's degree in a related field, or equivalent work experience
 * Five to seven years of statistical and/or data analytics experience

Preferred Skills/Experience

 * Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, and others to perform analysis and interpret data
 * Experience in analytics, advanced analytics/statistics, predictive modeling
 * Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
 * Demonstrated project management skills
 * Effective interpersonal, verbal and written communication skills
 * B2B experience in financial services or a similar industry
 * Experience with visualization tools such as Power BI and Tableau
 * Demonstrates curiosity and a growth mindset, proactively uncovering insights that inform decisions, eager to learn, and adaptable to evolving analytics, reporting, and technology landscapes
 * Strong team player and collaborator, comfortable partnering directly with marketing stakeholders to understand requirements and share analytical insights
 * Experience with and interest in exploring AI applications and opportunities within the analytics space
 * Previous experience working in an agency environment is a plus

## Description

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.


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