Manager, Data Analysis - Global Payment Network

EPX

McLean, VA, US
Base: $149,800 - $205,100 depending on location; b...
Data analytics and modeling
Programming with python r spark sql
Business intelligence and dashboard development
The Counterparty Restitution team drives analyses to help stakeholders understand and operationalize restitution methodologies within Discover's Global Payment Network

Job Summary

  • The Counterparty Restitution team drives analyses to help stakeholders understand and operationalize restitution methodologies within Discover's Global Payment Network.
  • This role involves leading a team of junior analysts, developing self-service dashboards, and collaborating across business units to deliver actionable data insights.
  • Capital One offers a comprehensive benefits package, a focus on work-life balance with little travel, and an inclusive and fast-paced work environment.

Matching Summary

The Counterparty Restitution team drives analyses to help stakeholders understand and operationalize restitution methodologies within Discover's Global Payment Network.

Salary

Base: $149,800 - $205,100 depending on location; Bonus/Equity: Performance based incentives including cash bonuses and long term incentives; Benefits: Comprehensive health, financial and other benefits

Skills & Requirements

Must-have

  • data analytics and modeling
  • programming with Python R Spark SQL
  • business intelligence and dashboard development
  • large and complex database management
  • team leadership and mentoring
  • cross-functional collaboration

Nice-to-have

  • problem solving and conceptual thinking
  • experience with AWS services
  • project management skills
  • customer experience analytics
  • fast-paced entrepreneurial environment

Key Requirements

  • Bachelor’s or Master’s degree in quantitative field
  • 4+ years professional data analysis experience
  • 4+ years programming experience
  • 1+ year people management experience
  • 1+ year project management experience
  • 1+ year Tableau experience
  • experience with Python R Spark or SQL
  • AWS service proficiency
  • work authorization or sponsorship eligibility

Work Rights

Must have or be eligible for US work authorization

Sponsorship: available

Tailored Resume

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