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# Data Analytics - PCS Customer Insights and Experience

- **Company:** U.S. Bank, National Association
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $105,400.0 - $124,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Mining, Document-Oriented Databases, R (Programming Language), Apache Hadoop, SPSS (Software), Python (Programming Language), Power BI, SAS (Software), SQL Databases, Tableau (Software), Data Analytics, Data Pipelines, Alteryx
- **Published:** July 4, 2026
- **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Minneapolis-MN/Data-Analytics---PCS-Customer-Insights-and-Experience_2026-0014816-1

## 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, SPSS, Alteryx, Tableau, Power BI, Geo-spatial tools and others to perform analysis and interpret data

 - Strong experience in data extraction, validation, and reporting

 - Proven ability to build and maintain dashboards and recurring reports (e.g., Tableau, Power BI)

 - Attention to data accuracy, quality control, and consistency

 - 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

## Description

The Data Analyst supports advanced analytics and customer experience insights by preparing, validating, and delivering high-quality data and reporting. This role focuses on data mining, dashboarding, and automation to enable more senior analytics team members to drive insights and business outcomes., * Build and maintain standardized data pipelines and datasets to support ongoing reporting and analytics work.

 * Perform data reconciliation and validation checks to ensure accuracy across reports and dashboards.
 * Create and optimize repeatable reporting processes to improve efficiency and reduce manual effort.
 * Document data definitions, logic, and processes to support consistency and scalability of reporting.
 * Respond to ad hoc data requests by pulling and preparing datasets based on defined requirements.
 * Monitor existing reports and dashboards for performance, accuracy, and usability improvements.
 * Collaborate with analytics team members to support data needs for deeper analysis and modeling efforts.
 * Assist in identifying opportunities to automate manual data processes and improve workflow efficiency.


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