Manager, Data Analysis - Card Partnerships

Manager, Data Analysis - Card Partnerships

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. 

We are seeking a passionate and driven Data Analysis Manager to lead our Partner Reporting, Trade Credit, and Data Governance initiatives. This is an exciting opportunity for associates eager to grow in a dynamic role focused on driving reporting excellence, supporting growth, and data governance initiatives. Our credit card business is powered by data and analytics and a passion to help use credit wisely. Our credit card products serve more than 87 million customers with 20+ personal and business card offerings with a reputable brand offering some of the best cash-back, rewards, and travel benefits for consumers and small business owners. We have advanced proprietary technology for pricing, risk management, and collections. Our card applications help us to serve our customers real-time bringing humanity and simplicity to banking. 

 

What you’ll do:  

• Drive current and future strategy by leveraging your analytical skills  

• Assist with building and using models to test and validate data 

• Work with vast amounts of data in new and evolving environments 

• Be a part of growing and developing our brand in new and emerging markets 

• Leverage analytics to create a customer experience above our peers 

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers 

• Be a part of the full life cycle of projects and see end results  

• Collaborate across business units  

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority 

• Experience real work life balance, with little travel involved  

 

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 

Key Responsibilities

•  Lead the onboarding of new partners into the reporting suite, ensuring the dashboards and reports align with partner expectations

• Develop and maintain reporting dashboards, ensuring timely delivery and operational excellence

• Gain a deep understanding of data governance and lean in to support data management efforts as needed

• Craft and implement a strategy to simplify the existing reporting suite, driving efficiency through process simplification and automation

• Lead a 3 member team, fostering a collaborative and inclusive environment to execute the data strategy effectively

• Oversee the successful deployment of Trade Credit Presentation Layers to production, ensuring they meet data quality requirements

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

• Cur