Sr. Business Analyst, Card Onboarding, Premium Products

Sr. Business Analyst, Card Onboarding, Premium Products

The Card Onboarding team is focused on driving customer and enterprise value during initial moments in the customer journey where engagement is highest. We are looking for analysts with credit background and SQL experience to help drive business strategy and intent with a specific focus on tackling the question: How can we create great card customers by engaging early on during the initial moments of onboarding?

Projects include, identifying ways to leverage onboarding to drive enduring spend, creating strategies to prevent spend attrition later in the customer lifecycle, working with product teams to test new offer constructs that may increase a customers likelihood to remain engaged, and more. In addition to the necessary credit and data backgrounds, this role would require comfortability handling frequent partnerships and collaboration with different teams across Card and Enterprise.

 

To be successful in this role you will:

• Conduct analysis on both customer & business impact of multi-user initiatives, often pulling together data from multiple internal & external sources. These features could be launched within our own internal systems (Ease, Marketing Email Campaigns) or through Partner platform teams (Consumer Identity, Ra). The ability to blend both qualitative & quantitative data to draft a compelling story & recommendation in partnership with product teams is critical. 

• Think critically, to push the boundaries of an initial problem statement and to take ownership of a problem.

• Communicate succinctly & clearly, both to internal & external partners, even when working in an unstructured ‘whitespace’ problem area.

• Work with SQL and Google Suite tools such as Google Sheets and Google Slides, and have the ability to work with new tools if needed such as Tableau or Databricks.

General Responsibilities:

• Analysis: Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations.  A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytics

• Product: Perform modeling/analytics to assist new product strategies 

• Marketing: Support direct-to-consumer marketing efforts for multi-users, and strategic intent for partner teams that may be marketing to multi-users. 

• Design: Help build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go to market strategies

• Execution: Involve problem frame-works, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan

• Partnership: Work closely with colleagues across Capital One including: Marketing, Small Business, Product, and others to drive improvement 

• Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business

• Strong communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills

• Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment 

• Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus

Basic Qualifications:

• Bachelor’s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)

• At least 1 year of experience in analysis

• At least 1 year of experience in SQL querying

Preferred Qualifications:

• Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering

• 1+ years of experience in Statistical model building

• 1+ years of experience in market r