Principal Data Analyst - Card Job at Capital One in Chicago

Join to apply for the Principal Data Analyst - Card role at Capital One.

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. Fast‑forward a few years, and this passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision making.

As a Principal Data Analyst you will leverage analytic and technical skills to innovate, build, and maintain well‑managed data solutions and capabilities to tackle business problems.

Innovation

• Use open source and digital technologies to mine complex, voluminous, and varied data sources and platforms.
• Build well‑managed data solutions, tools, and capabilities to enable self‑service frameworks for data consumers.
• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives.

Business Intelligence

• Partner with business to provide consultancy and translate business needs into design and development of tools, techniques, metrics, and dashboards for insights and data visualization.
• Drive analysis that provides meaningful insights on business strategies.

Data Management

• Drive understanding and adherence to principles of data quality management including metadata, lineage, and business definitions.
• Work collaboratively with appropriate tech teams to manage security mechanisms and data access governance.
• Build and execute tools to monitor and report on data quality.

Preferred Candidate Profile

• Degree specialized in a Science, Technology, Engineering, or Mathematics discipline.
• Scripting experience in Python, R, Spark, and SQL.
• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data).
• Experience utilizing and developing within AWS services.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related quantitative field) plus at least 5 years of experience performing data analytics; or a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 3 years of experience working with at least one scripting language.
• At least 3 years of experience utilizing a business intelligence visualization tool.
• At least 3 years of experience in querying, analyzing and working with data languages and platforms.

Preferred Qualifications

• Master’s Degree in a Science, Technology, Engineering, or Mathematics discipline.
• At least 4 years of experience coding in Python, R, Spark, or SQL.
• At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• At least 2 years of experience utilizing and developing within AWS services.
• At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry.

Compensation & Benefits

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Salary ranges vary by location:

• McLean, VA: $127,500 - $145,500
• Richmond, VA: $115,900 - $132,200
• New York, NY: $139,100 - $158,700
• Chicago, IL: $115,900 - $132,200

This role is also eligible to earn performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.

Capital One is an equal‑opportunity employer (EOE) committed to non‑discrimination in compliance with applicable federal, state, and local laws.