Customer Experience Data Analyst For Merchant Payment Servicescategorytechnology & Digitaljob Id2025 - 0023029posting Start Date09/25/2025anticipated Posting End Date10/09/2025job Typefull Timejob Available In 5 Locationsminneapolis, MN, United Stateslos

Customer Experience Data 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.

We are seeking an experienced Customer Experience Data Analyst to join our Operations and Enterprise Insights team within U.S. Bank's Enterprise Analytics & Customer Experience (EACX) Department. This role involves a blend of statistical analysis, data visualization, and data engineering. We expect the analyst to create connections between data sets (including customer surveys, observational/behavioral data, and product usage), deliver insightful analysis, and find creative ways to better understand our customers through data.

The ideal candidate will have a strong foundation in descriptive statistics, data analysis, data visualization, communication through data, and data engineering, combined with experience developing relationships with business partners. We are seeking someone driven by deep curiosity and a desire to find creative answers to challenging questions. This candidate will be comfortable identifying and sourcing new data sources, cleansing and manipulating data, analyzing and developing effective dashboards and visualizations, extracting actionable insights, and partnering with other teams to leverage the insights.

Key responsibilities include:

• Statistics & Data Analysis:
• Interpret structured and unstructured data from Qualtrics (or other CX tools) surveys to uncover customer sentiment, behavioral patterns, and emerging trends.
• Summarize and interpret customer data, providing clear insights into trends and anomalies; including testing for statistical significance.
• Perform analysis to ensure data integrity and uncover insights.
• Dashboard & Reporting:
• Develop and maintain Qualtrics dashboards that deliver actionable insights from customer feedback and behavioral data.
• Design, develop, and maintain interactive dashboards and reports using data visualization tools (e.g., Qualtrics, Tableau, Power BI).
• Ensure dashboards and reports are user-friendly, accurate, and aligned with business needs.
• Partner with Customer Experience Insights teams to ensure the accuracy and correctness of data communication.
• Data Engineering:
• Identify, source and manipulate data sources and metrics for use in analysis.
• Build and optimize data processes to ensure seamless integration and high-quality data availability for analysis.
• Collaborate with other teams to enhance data connections and resolve data quality issues.
• Presentation & Communication:
• Translate complex data findings into compelling narratives using PowerPoint and storytelling techniques that resonate with diverse audiences, including senior leadership.
• Apply visual design principles to ensure clarity, impact, and alignment with CX goals.
• Be able to clearly explain complex ideas to non-experts.
• Advanced Statistics & Data Science:
• Familiarity with advanced statistical methods, such as predictive modeling and machine learning.

Basic qualifications include a bachelor's degree in a related field or equivalent work experience, and five to seven years of statistical and/or data analytics experience.

Preferred skills/experience include advanced proficiency in Qualtrics (or other CX tools), exceptional PowerPoint development skills, strong proficiency in SQL, and data engineering skills, including experience with ETL processes and data pipeline management.