The Principal Data Analyst at Capital One: Combining Human-Centered Approach with Data-Driven Decision Making
Capital One, a Fortune 200 company, has been a leader in the world of data-driven decision-making since its inception. The company disrupted the credit card industry by personalizing every credit card offer using statistical modeling and relational databases. Fast forward a few years, this innovation and passion for data have propelled Capital One to new heights in the financial industry, particularly in retail banking. Here is a closer look at the role of a Principal Data Analyst at Capital One’s Retail Bank.
Embracing the Human-Centered Approach in the Consumer Bank
The Consumer Bank at Capital One has beautifully combined a human-centered approach with data-driven decision making. This innovative approach aims to enable truly empowering financial experiences. The company has challenged itself to spend less time planning and more time doing, always striving to see the world through the eyes of its customers as they navigate their financial journey.
The Retail Bank business includes digital/online banking, branch/cafe experience, bank operations, contact center, enterprise payments, marketing and product strategy, and small business banking. All these areas are seamlessly integrated to provide a comprehensive banking experience to customers.
Role of a Data Analyst at Capital One
As a Data Analyst at Capital One, you will leverage your analytical and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Your work will span across three main areas – Innovation, Business Intelligence, and Data Management.
Driving Innovation with Open Source and Digital Technologies
Innovation at Capital One involves using Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms. Data Analysts build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers. They also demonstrate the ability to explore and quickly grasp new technologies to progress varied initiatives.
Business Intelligence: Partnering with the Business
Data Analysts at Capital One partner with the business to provide consultancy and translate business needs into the design and development of tools, techniques, metrics, and dashboards for insights and data visualization. They drive analysis that provides meaningful insights on business strategies.
Data Management: Upholding the Principles of Data Quality Management
Data Analysts at Capital One drive an understanding and adherence to the principles of data quality management, which includes metadata, lineage, and business definitions. They work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance. Moreover, they build and execute tools to monitor and report on data quality.
Qualifications and Experience
The ideal candidate for this role should have a degree specialized in a Science, Technology, Engineering, Mathematics discipline, scripting experience in Python, R, Spark, and SQL. A strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) are crucial. Experience utilizing and developing within AWS services is also a key requirement.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. The company is an equal opportunity employer committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace and considers for employment, qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
This role is eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. The incentives could be discretionary or non-discretionary depending on the plan.
Capital One’s commitment to data-driven decision making, combined with a human-centered approach, makes it an ideal destination for data analysts looking to make a significant impact in the financial industry.
