What are the responsibilities and job description for the Senior Manager, Data Analysis - Marketing and Messaging position at Capital One?
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 the scheduled start date.
At least 5 years of experience with professional data analysis work experience
At least 2 years leading and developing with open source data technologies
At least 2 years of experience in people management
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
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.
All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, national origin, sexual orientation, protected veteran status, or disability status.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
