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Data Analysis Manager - Enterprise Consumer Products

Job in New York, New York County, New York, 10261, USA
Listing for: Capital One
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

Data Analysis Manager - Enterprise Consumer Products

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.

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 on an exciting professional journey while 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
Ideal Candidate

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, R, Spark or SQL
  • At least 1 year of experience in people management
  • At least 1 years of project management experience
  • At least 1 year of experience in Tableau
  • Proficient utilizing and developing within AWS service
  • Knowledge of AI tools like Git Hub CoPilot, Claude Code and building AI workflows
  • Familiarity with CI/CD Dev Ops processes
Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website.

Important Information

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Equal Opportunity Employment

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital…

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