Sr. Manager, Data Analyst - Marketing, Analytics and Product Data Strategy id-9299

Sr. Manager, Data Analyst - Marketing, Analytics and Product Data Strategy

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.

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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).

On the Marketing, Analytics, and Product team, you'll be at the heart of driving analytical excellence across Capital One's Retail Bank. As a Sr. Manager on the team, you'll be leading the data strategy for our Checking product suites. You'll lead both people and projects and guide your teams towards building and maintaining automation solutions that reduce manual work, improve operational efficiency, and enhance existing reporting. You'll work with our upstream data partners to drive our Data Modernization and data standardization journey. You'll get to enhance your technical and analytical skills while exploring unstructured data, enhancing portfolio monitoring and analyzing customer engagement behavior.

On a given day you will be:

Refining a new Enterprise-wide analytical tools validation framework

Planning and executing validation projects

Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes

Understanding technical issues in analytical tools and assessing tools risks and opportunities

Independently researching, identifying, and prototyping industry best practices for emerging analytical tools

Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations

Leveraging education, colleagues and training opportunities to develop solutions to business problems

Coaching and mentoring junior staff

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. 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.

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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

At least 5 years of experience performing professional data analysis work

At least 5 years of experience leading and developing with open source data technologies

At least 2 years of experience managing people

Preferred Qualifications:

Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field

At least 7 years of experience in statistical or econometrics hands-on work

At least 5 years of experience manipulating and performing analysis with large data sets

At least 5 years of experience in financial services industry

At least 5 years of experience in developing statistical or econometric models

At least 5 years of experience in validating statistical or econometric models

At least 2 years of experience with data governance

At least 2 years of experience with predictive analytics

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