Senior Data Analytics Manager – Payments

U.S. Bank

Senior Data Analytics Manager leading advanced analytics and strategic insights for Payments portfolio at U.S. Bank.

Posted 7/4/2026full-timeMinneapolis • Minnesota, New York, Pennsylvania • 🇺🇸 United StatesSenior💰 $133,365 - $156,900 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead strategic and ad hoc analyses to answer complex business questions and support decision-making.
Partner with product, marketing, finance, and groups outside of Payments to identify opportunities for growth, engagement, and risk mitigation.
Identify and quantify opportunities to expand and deepen partner relationships and customer engagement.
Design and execute end-to-end analytical solutions, from data extraction through presentation of findings.
Develop hypotheses, investigate business trends, and uncover key drivers behind portfolio performance and profitability.
Translate analytical findings into clear business recommendations and executive-level presentations.
Validate and reconcile data across multiple systems to ensure accuracy and consistency of insights.
Evaluate the impact of business strategies, product changes, and customer initiatives through data-driven analysis.
Build and maintain strong relationships with stakeholders while serving as a trusted analytics advisor.
Identify proactive analytical opportunities that help drive portfolio growth and improve customer outcomes.

Requirements

What you’ll need

Bachelor's degree in a related field, or equivalent work experience
Eight or more years of statistical and/or data analytics experience
Strong proficiency in SQL, Python, R, SAS, or similar analytics tools
Experience working with large, complex datasets.
Demonstrated ability to solve ambiguous business problems with limited direction.
Strong business acumen and ability to connect analytics to business outcomes.
Experience developing executive presentations and communicating findings to senior leaders.
Proven ability to influence decisions through data-driven recommendations.
Background in financial services, banking, credit cards, payments, or consumer lending preferred.
Experience with predictive modeling, statistical analysis, or regression techniques is a plus.
Strong written, verbal, and 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

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Hard Skills & Tools

Data ExtractionPredictive ModelingStatistical AnalysisRegression TechniquesData ValidationBusiness Trend InvestigationPortfolio Performance AnalysisData-Driven RecommendationsComplex Dataset ManagementAnalytical Solution Design

Soft Skills

Strong Business AcumenProblem SolvingInfluencing DecisionsRelationship BuildingCommunication Skills