Capital One - McLean, VA
posted 2 months ago
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 relational databases, cutting-edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data have skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. In the Consumer Bank, we've combined this human-centered approach with our heritage of data-driven decision-making to design, build, and test our way to truly enabling financial experiences. We've challenged ourselves to spend less time planning, more time doing, and, above all else, to see the world through the eyes of our customers as they work to understand and manage their money. In this role, you will be working closely with ontologists, data producers and consumers, and developers to understand how the Bank's data is generated, flows, and is used, and to help leverage that understanding in how we manage our data. As a Data Analyst at Capital One, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day, you will be challenged on three types of work - Innovation, Business Intelligence, and Data Management. In the Innovation aspect, you will use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms. You will build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers and demonstrate the ability to explore and quickly grasp new technologies to progress varied initiatives. In Business Intelligence, you will partner with the business to provide consultancy and translate business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization, driving analysis that provides meaningful insights on business strategies. Lastly, in Data Management, you will drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions, working collaboratively with appropriate Tech teams to manage security mechanisms and data access governance, and building and executing tools to monitor and report on data quality.