Credit Card Analytics Lead — Data Strategy & Partnerships

U.S. Bank; Horsham (PA); On-site; USD 105,000 - 124,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) retirement plan

Paid vacation

Paid holidays

Adoption assistance

Disability insurance

Job summary

U.S. Bank is seeking a Data Analytics Manager to lead strategy for onboarding and growing partner relationships across the credit card portfolio.

The role collaborates with external vendors and internal marketing and analytics teams to uncover growth opportunities and deepen customer engagement. Responsibilities include managing large data projects, building predictive models and dashboards, and delivering actionable insights to guide business decisions.

Qualifications

• Bachelor's degree in a related field or equivalent work experience.
• Five to seven years of statistical and/or data analytics experience.
• Experience with SAS, SQL, Python or R for analyses.
• Experience with data visualization tools such as Tableau or PowerBI.
• Familiarity with cardholder transactions data and external data sources.

Responsibilities

• Lead big data/analytics projects and integrate large data sets.
• Develop predictive models and segmentation trees.
• Create secure data environments and build insights from multiple data sources.
• Collaborate with cross functional teams to enable data driven product management.
• Build, maintain dashboards and performance metrics for key decisions.

Skills

Data analytics experience

Problem solving

Communication skills

Project management

Statistical methods

Education

Bachelor's degree

Tools

SAS

SQL

Python

R

Tableau

PowerBI

Job description

U.S. Bank is seeking a Data Analytics Manager to lead strategy for onboarding and growing partner relationships across the credit card portfolio.

The role collaborates with external vendors and internal marketing and analytics teams to uncover growth opportunities and deepen customer engagement. Responsibilities include managing large data projects, building predictive models and dashboards, and delivering actionable insights to guide business decisions.