Senior CX Analytics Consultant - Merchant Payment Services

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About the role

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 U.S. Bank is seeking a Data Analyst to support Merchant Payment Services (MPS) by combining advanced analytical capability with a strong customer experience mindset. This role will acquire and integrate data from multiple sources, apply statistical techniques and analytical tools, and translate complex findings into clear, actionable recommendations. The analyst will examine Voice of Customer (VoC), operational and behavioral data to identify trends, key drivers, root causes and measurable improvement opportunities across the MPS customer journey. The role partners closely with CX, Product, Operations, Technology and business stakeholders to design analyses, evaluate interventions, improve experience measurement and help leaders make evidence-based decisions. The ideal candidate is technically strong, curious about customer behavior, and able to connect rigorous analysis to practical business action. What You’ll Do ·       Acquire, integrate, validate and analyze large or complex datasets from customer, survey, operational, behavioral and business sources. ·       Apply statistical methods to answer business questions, identify meaningful trends and patterns, assess relationships, and distinguish signal from noise. ·       Design and evaluate A/B tests and other experiments, including hypothesis development, test design, statistical significance, interpretation and recommendations. ·       Use Python, SQL and related analytical tools to prepare data, automate repeatable analyses, and develop reproducible analytical workflows. ·       Conduct advanced analyses such as driver analysis, segmentation, forecasting, predictive modeling, root-cause analysis and pain-point sizing, as appropriate to the business question. ·       Analyze VoC and CX data to identify customer needs, experience gaps, key satisfaction drivers and improvement opportunities across MPS journeys. ·       Synthesize qualitative and quantitative inputs into clear, compelling insights and executive-ready narratives. ·       Translate findings into prioritized recommendations that improve customer satisfaction, adoption, retention, efficiency or other relevant business outcomes. ·       Develop and enhance dashboards, visualizations and recurring reporting that make insights accessible and actionable for stakeholders. ·       Measure and monitor the results of implemented recommendations, identify emerging trends, and propose adjustments based on evidence. ·       Partner cross-functionally with CX, Product, Operations, Technology, Data Science, Business Intelligence and business teams to provide a holistic view of performance and customer experience. ·       Present analytical findings and recommendations to stakeholders and senior leaders; communicate methods, assumptions, limitations and implications clearly. ·       Ensure data acquisition, use, sharing and analytical outputs comply with company standards, controls and applicable data-governance requirements. ·       Stay current on analytics, experimentation, VoC and CX measurement practices and recommend enhancements to methods, tools and processes. Basic Qualifications ·       Bachelor's degree in a related field, or equivalent work experience ·       Five to s

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