Capital One
Manager, Data Analysis - Global Payment Network, Counterparty Restitution
Capital One, Deerfield, Illinois, United States, 60063
Manager, Data Analysis – Global Payment Network, Counterparty Restitution
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 personally tailoring each credit card offer through statistical modeling and relational databases—cutting‑edge technology in 1988. Fast‑forward a few years, and this passion for data has turned Capital One into a Fortune 200 leader in 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 Counterparty Restitution team within Discover’s Global Payment Network drives analytics to help key stakeholders understand the assumptions and mechanics of the gross methodology used to calculate restitution amounts. The team works closely with CRP Strategy, direct settlement, and execution teams to provide data insights that firm up operational considerations, determine opt‑out settlement amounts, and support MID allocation requirements and data models. The team also collaborates with data management to define data layer requirements for tracking KPIs related to counterparty restitution. As the data solutioneer for restitution, the team creates visual monitoring reports and develops self‑service dashboards—including merchant overviews and gap analyses—to give business partners actionable analytics 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
Help grow and develop our brand in new and emerging markets
Leverage analytics to create a superior customer experience
Lead a team of junior analysts, mentor them, and elevate their careers
See projects end to end, from conception to delivery
Collaborate across business units
Work with top talent in a fast‑paced, entrepreneurial environment where analytics and good data are a priority
Enjoy a real work‑life balance with minimal travel
On any given day you will be
Mining data to arrive at specific and crucial information
Identifying and implementing process, data, and reporting improvements
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, etc.) plus at least 6 years of experience performing data analytics
Master’s Degree plus at least 4 years of experience performing data analytics, with the degree expected to 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 experience
At least 4 years of experience with Python, R, Spark, or SQL
At least 1 year of people‑management experience
At least 1 year of project‑management experience
At least 1 year of experience in Tableau
Proficient in developing within AWS services
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
CapOne is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local law.
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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 Counterparty Restitution team within Discover’s Global Payment Network drives analytics to help key stakeholders understand the assumptions and mechanics of the gross methodology used to calculate restitution amounts. The team works closely with CRP Strategy, direct settlement, and execution teams to provide data insights that firm up operational considerations, determine opt‑out settlement amounts, and support MID allocation requirements and data models. The team also collaborates with data management to define data layer requirements for tracking KPIs related to counterparty restitution. As the data solutioneer for restitution, the team creates visual monitoring reports and develops self‑service dashboards—including merchant overviews and gap analyses—to give business partners actionable analytics 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
Help grow and develop our brand in new and emerging markets
Leverage analytics to create a superior customer experience
Lead a team of junior analysts, mentor them, and elevate their careers
See projects end to end, from conception to delivery
Collaborate across business units
Work with top talent in a fast‑paced, entrepreneurial environment where analytics and good data are a priority
Enjoy a real work‑life balance with minimal travel
On any given day you will be
Mining data to arrive at specific and crucial information
Identifying and implementing process, data, and reporting improvements
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, etc.) plus at least 6 years of experience performing data analytics
Master’s Degree plus at least 4 years of experience performing data analytics, with the degree expected to 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 experience
At least 4 years of experience with Python, R, Spark, or SQL
At least 1 year of people‑management experience
At least 1 year of project‑management experience
At least 1 year of experience in Tableau
Proficient in developing within AWS services
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
CapOne is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local law.
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