Data Analyst – Credit Card Portfolio Analytics

U.S. Bank

Data Analyst supporting U.S. Bank's credit card portfolio.

Posted 7/15/2026full-timeHorsham • Minnesota, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $105,400 - $124,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and statistical techniques, utilizing tools such as SQL, R, and Python to derive actionable insights from complex datasets. Strong presentation and communication skills facilitate effective collaboration and the clear delivery of analytical findings.

Highest-signal resume keywords

Data AnalyticsStatistical Software (SQL, R, Python)Predictive ModelingTableau or Power BIProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesPredictive ModelingData AcquisitionTrend AnalysisExcel (Pivot Tables, Lookups, Charts)HadoopSASBig Data AnalyticsData Interpretation

Soft Skills

Effective CommunicationInterpersonal SkillsPresentation Skills

Tools & Technologies

SQLRPythonExcelHadoopSASTableauPower BI

Industry Keywords

Credit CardPaymentsBankingAnalyticsAdvanced Analytics

Tech Stack

Tools & technologies

HadoopPythonSQLTableau

About the role

Key responsibilities & impact

Join a high-performing analytics team focused on supporting Elan's credit card and payments portfolio
Work on big data/analytics projects that gather and integrate large volumes of data
Perform analysis, interpret results and develop actionable insights and recommendations
Acquire data from multiple data sources in order to perform analysis
Identify, analyze and interpret trends or patterns in complex data in order to provide answers to business questions and provide recommendations for action
Interpret data and analyze results using various statistical techniques and tools
Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations
Collaborate with various partners to provide a holistic view of the analysis
Measure and monitor results of applied recommendations and present adjustments
Ensure all data acquisition, sharing and results of applied recommendations are compliant with company standards

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
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
Tableau or Power BI experience
Credit card, payments, or banking experience preferred
Intermediate to advanced Excel skills (pivot tables, lookups, charts)
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
Strong presentation skills

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