Senior Manager, Data Analysis - Marketing and Messaging

Center 3 (19075), United States of America, McLean, Virginia

Senior Manager, Data Analysis - Marketing and Messaging

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. 

 

The Marketing & Messaging team (M&M) supports Capital One’s messaging ecosystem with the technology and operational capacity used to deliver >95% of all digital messages to customers. We support various channels including email, EASE, the Capital One website, SMS messaging, push notifications, paper mail, and performance marketing.

This team is at the cutting edge of the extremely data-intensive goals of hyper-personalized messaging and optimizing our engagement with customers/prospective customers. And as an analyst leader, you will make significant contributions across the portfolio of platforms supporting these goals.

As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. 

What you’ll do:  

• Lead and develop a team of analysts with a broad portfolio and great opportunity for creative leadership and growth

• 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

 

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 plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus at least 2 years of experience in data analytics with an expectation that required degree will be obtained on or before t