Senior CX Analytics Consultant – Merchant Payment Services

U.S. Bank

. Acquire, integrate, validate and analyze large or complex datasets from customer, survey, operational, behavioral and business sources .

Posted 9/29/2026full-timeUnited StatesSenior💰 $105,400 - $124,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical capabilities in statistical methods, data integration, and customer experience measurement, utilizing tools like Python, SQL, and Power BI to drive business outcomes. Proficient in designing experiments and translating complex data into actionable insights for stakeholders.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyA/B Testing Design and AnalysisVoice of Customer (VoC) MeasurementPredictive Modeling and Forecasting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData IntegrationDriver AnalysisSegmentationRegression AnalysisPredictive ModelingRoot-Cause AnalysisData VisualizationDashboard DevelopmentData Governance

Soft Skills

Problem-SolvingProject ManagementCross-Functional CollaborationEffective CommunicationInterpersonal Skills

Tools & Technologies

Power BIExcelPowerPointQualtricsRSASSPSS

Industry Keywords

Customer Experience (CX)Voice of Customer (VoC)CSATNPSCESPaymentsMerchant AcquiringFinancial Services

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Acquire, integrate, validate and analyze large or complex datasets from customer, survey, operational, behavioral and business sources
Apply statistical methods to answer business questions and identify trends, patterns and relationships
Design and evaluate A/B tests and other experiments
Use Python, SQL and related analytical tools to prepare data, automate analyses and develop reproducible workflows
Conduct driver analysis, segmentation, forecasting, predictive modeling, root-cause analysis and pain-point sizing
Analyze VoC and CX data to identify customer needs, experience gaps, satisfaction drivers and improvement opportunities
Synthesize qualitative and quantitative inputs into executive-ready narratives
Translate findings into prioritized recommendations that improve customer satisfaction, adoption, retention, efficiency or other business outcomes
Develop and enhance dashboards, visualizations and recurring reporting
Measure results of implemented recommendations and propose evidence-based adjustments
Partner with CX, Product, Operations, Technology, Data Science, Business Intelligence and business teams
Present findings and recommendations to stakeholders and senior leaders
Ensure data acquisition, use, sharing and analytical outputs comply with company standards, controls and data-governance requirements
Stay current on analytics, experimentation, VoC and CX measurement practices and recommend enhancements

Requirements

What you’ll need

Bachelor's degree in a related field, or equivalent work experience
Five to seven years of statistical and/or data analytics experience
Strong proficiency in Python and SQL
Experience with R, SAS, SPSS or other statistical software is beneficial
Hands-on experience designing, analyzing and interpreting A/B tests or other controlled experiments
Experience with regression, driver or relative-importance analysis, segmentation, forecasting and predictive modeling
Experience with Voice of Customer and customer experience measurement, including CSAT, NPS, CES, journey analytics, pain-point analysis or related approaches
Experience with Qualtrics or a similar VoC platform
Ability to combine survey, customer, operational, financial and behavioral data
Proficiency in Power BI or similar tools and advanced Excel and PowerPoint capabilities
Experience translating ambiguous business questions into structured analytical approaches and measurable hypotheses
Strong problem-solving, project management and cross-functional collaboration skills
Effective interpersonal, written and verbal communication skills
Experience in payments, merchant acquiring, financial services or another complex, data-rich industry
This position is not eligible for visa sponsorship
Ability to comply with U.S. Bank policies and procedures, including the Code of Ethics and Business Conduct and workplace conduct and safety policies

Benefits

Comp & perks

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from 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 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