Global Network Analytics Lead: Data Strategy & Insights

Capital One; Deerfield (IL); On-site; USD 150,000 - 171,000; Full time

Job summary

Capital One is seeking a data analytics leader to drive project execution for the Global Network Analytics team within the Global Payment Network business. You will apply analytic skills to develop models, handle vast datasets, and influence strategy across marketing, pricing, fraud, and automation.

This is a fast-paced, entrepreneurial environment with strong BI emphasis. An ideal candidate will be on the leading edge of analytics technology, with problem-solving, communication, and leadership

Qualifications

• Bachelor’s degree in a quantitative field plus 6+ years analytics experience, or Master’s with 4+ years analytics.
• At least 4 years of professional data analysis experience.
• At least 4 years of programming experience.
• Preferred: 7+ years analytics experience, 4+ years Python/R/Spark/SQL, Tableau, AWS.

Responsibilities

• Mine data to arrive at crucial information for the organization.
• Identify and implement data, process, and reporting improvements.
• Work with large and complex databases containing millions to billions of records.
• Improve operational efficiencies and effectiveness.
• Conduct analysis to evaluate processes and tests.
• Extract and analyze data to gauge product offerings.
• Consult on design and implementation of new production and data storage systems.
• Develop and implement strategic tests of products, initiatives and marketing materials.

Skills

Analytical thinking

Problem solving

Communication

Leadership

Interpersonal skills

Collaboration

Education

Bachelor’s degree in quantitative field

Master’s degree in a related field

Tools

Python

R

Spark

SQL

Tableau

AWS

Job description

Capital One is seeking a data analytics leader to drive project execution for the Global Network Analytics team within the Global Payment Network business. You will apply analytic skills to develop models, handle vast datasets, and influence strategy across marketing, pricing, fraud, and automation.

This is a fast-paced, entrepreneurial environment with strong BI emphasis. An ideal candidate will be on the leading edge of analytics technology, with problem-solving, communication, and leadership