Manager, Data Analysis - Global Payment Network, Network Product & Platforms

Manager, Data Analysis - Global Payment Network, Network Product & Platforms

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 the 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.

The Network Product & Platforms (NPP) team is building a Platform Analytics function to analyze how participants leverage our network and capabilities. As a Manager, Data Analysis, you will help build the framework and manipulate/analyze large datasets to understand platform usage and value from the participant perspective. A key focus of this role is innovation and simplification, thinking strategically about how to leverage technology and AI to automate KPIs, root cause analysis, and trend detection. You will partner with stakeholders to transform complex transactional attributes into actionable insights and recommendations. This role will directly influence how we evolve our capabilities, improve the participant experience, and drive network growth through a deep, data-driven understanding of network usage.

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 

• 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 

An ideal candidate will be on the leading edge of analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a:

  • Bachelor’s Degree in 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, or 

  • Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that 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 Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python,