Manager, Data Analysis, Bank Operations
About The Position
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. As a Data Analyst in the Bank Operations organization, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. In this role, you will be at the forefront of integrating Discover customers into Capital One Bank Operations processes, and will work with business and data leaders across the organization to understand process needs, perform data discovery, and support integration of new data sources to ensure a seamless experience for our customers. What you’ll do: Drive current and future strategy by leveraging your analytical skills and business acumen Assist with testing and validating new data sources Work with vast amounts of data in new and evolving environments 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 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.
Requirements
- 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 6 years of experience performing data analytics, or Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
Nice To Haves
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 7 years of professional data analysis work experience
- At least 4 years of experience with Python, R, Spark or SQL
- At least 1 year of experience in people management
- At least 1 years of project management experience
- At least 1 year of experience in Tableau
- Proficient utilizing and developing within AWS service
Responsibilities
- Drive current and future strategy by leveraging your analytical skills and business acumen
- Assist with testing and validating new data sources
- Work with vast amounts of data in new and evolving environments
- Be a part of the full life cycle of projects and see end results
- Collaborate across business units
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
