Data Analysis Manager - Enterprise Services Risk Analytics

About the role

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

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 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

Qualifications

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 2 years of experience in people management
• At least 1 year of experience with an Infrastructure as Code (IaC) tool, such as Terraform or AWS CloudFormation
• At least 1 year of project management experience
• At least 1 year of experience in Tableau
• Proficient utilizing and developing within AWS service

Skills

• Leading edge of analytical technology with a passion for the newest and most innovative tools
• Strong problem solving and conceptual thinking abilities
• Communication, interpersonal and leadership skills
• Ability to handle multiple concurrent projects while working independently and in teams
• Strong Business Intelligence background

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.

Pay

• McLean, VA: $164,800 - $188,100
• Richmond, VA: $149,800 - $171,000
• New York, NY: $179,700 - $205,100
• Candidates hired to work in other locations will be subject to the pay range associated with that location

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Schedule

This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

This role is expected to accept applications for a minimum of 5 business days. No agencies please.