Data Analytics Manager - Global Network Analytics - Payments
About the role
This role will play a critical part in project execution and delivery for our Global Network Analytics team within our Global Payment Network (GPN) business. The GNA department provides analytical solutions to payment businesses covering the whole lifecycle of participant management. This department has a variety of teams that handle topics including marketing, pricing, fraud, optimization, automation, restitution, GenAI, and text modeling.
Responsibilities
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
- 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
Additionally, you will:
- 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
Requirements
- 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, 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
Qualifications
An ideal candidate will be on the leading edge of analytical technology with a passion for the newest and most innovative tools. Strong problem-solving and conceptual thinking abilities, as well as communication, interpersonal, and leadership skills, are also important. This position will be in a fast-paced and entrepreneurial environment where you will handle multiple concurrent projects while working independently and in teams. This role has a strong Business Intelligence component, and those with a BI background are strongly encouraged to apply.
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, 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
- Proficient utilizing and developing within AWS services
Pay
The minimum and maximum full-time annual salaries for this role are listed below, by location:
- New York, NY: $179,700 - $205,100
- Riverwoods, IL: $149,800 - $171,000
- Chicago, IL: $149,800 - $171,000
Candidates hired to work in other locations will be subject to the pay range associated with that location. Salaries for part-time roles will be prorated based on the agreed-upon number of hours to be regularly worked. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.