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Manager, Data Analysis - Global Network, Counterparty Restitution

Job in Deerfield, Lake County, Illinois, 60063, USA
Listing for: Capital One
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Business Systems/ Tech Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 179700 - 205100 USD Yearly USD 179700.00 205100.00 YEAR
Job Description & How to Apply Below
Position: Manager, Data Analysis - Global Payment Network, Counter party Restitution

Manager, Data Analysis – Global Payment Network, Counter party Restitution

Join to apply for the Manager, Data Analysis – Global Payment Network, Counter party Restitution role at Capital One
.

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and a relational database—cutting‑edge technology in 1988! Fast‑forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making.

This role will be hired as a Capital One associate but will play a critical part in project execution and delivery for Discover Financial Services as part of our integration effort.

The Counter party Restitution team within Discover’s Global Payment Network drives analyses to help key stakeholders understand the assumptions and mechanics of the gross methodology, which is the methodology used to calculate restitution amount. The team works closely with the CRP Strategy team, direct settlement team and execution team to provide data insights that support key operational considerations of the program, including determining opt‑out settlement amounts and supporting MID allocation requirements and data models.

The CRP team also collaborates with the data management team to define data layer requirements for tracking KPIs related to counter party restitution. As the data solution‑er for restitution, the CRP team will create visualized monitoring reports to track key metrics and implement self‑service dashboards—including merchant overview and gap analysis—to provide business partners with analytical insights.

What you’ll do
  • Drive current and future strategy by leveraging your analytical skills
  • Assist with building and using models to test and validate data
  • Work with vast amounts of data in new and evolving environments
  • Be a part of growing and developing our brand in new and emerging markets
  • Leverage analytics to create a customer experience above our peers
  • Lead a team of talented junior analysts, mentoring them and elevating their careers
  • Be a part of the full life cycle of projects and see end results
  • Collaborate across business units
  • Work with top talent in a fast‑paced, entrepreneurial environment where analytics and good data are a top priority
  • Experience real work life balance, with little travel involved
On any given day you will be
  • Mining data to arrive at specific and crucial information for the organization
  • Identifying and implementing process, data, and reporting improvements for the organization
  • Working with large and complex databases containing millions to billions of records
  • Improving operational efficiencies and effectiveness
  • Conducting analysis to evaluate processes and tests
  • Extracting and analyzing data to gauge product offerings
  • Consulting on the design and implementation of new production and data storage systems
  • Developing and implementing strategic tests of products, initiatives and marketing materials
Basic Qualifications
  • Currently has, or is in the process of obtaining a:
    • Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics
    • Master’s Degree plus at least 4 years of experience performing data analytics, with an expectation that the required degree will be obtained on or before the scheduled start date
  • At least 4 years of experience performing professional data analysis work
  • At least 4 years of experience performing programming
Preferred Qualifications
  • Master’s Degree in a STEM discipline
  • At least 7 years of professional data analysis work experience
  • At least 4 years of experience with Python, R, Spark or SQL
  • At least 1 year of experience in people management
  • At least 1 year of project management experience
  • At least 1 year of experience in Tableau
  • Proficiency utilizing and developing within AWS services
Compensation

Salary ranges vary by location:

  • New York, NY: $179,700 - $205,100
  • Riverwoods, IL: $149,800 - $171,000
  • Chicago…
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