Manager, Data Analysis - Retail Bank

Manager, Data Analysis - Retail Bank

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.

In the Consumer Bank, we’ve combined this human-centered approach with our heritage of data-driven decision making to design, build and test our way to truly enabling financial experiences. We’ve challenged ourselves to spend less time planning, more time doing, and, above all else, to see the world through the eyes of our customers as they work to understand and manage their money.

Retail Bank line of business and functional areas include digital/online banking, branch/cafe experience, bank operations (i.e., account maintenance, deposits, ATM, tax reporting, etc.), contact center, enterprise payments (debit, ACH, check, wires, etc.), marketing and product strategy, and small business banking (i.e., strategy and deposits, sales and servicing, and lending).

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

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…