Capital One Sr Manager Data Analyst - Marketing Analytics Product Strategy 

United States, Virginia, Arlington 

38180356

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

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

Wilmington, DE: $175,500 - $200,300 for Sr. Data Analysis Manager McLean, VA: $193,000 - $220,300 for Sr. Data Analysis ManagerThis 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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.