Sr. Data Analyst - Card

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 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:

Innovation

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of 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 the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

• Drive analysis that provides meaningful insights on business strategies

Data Management

• Drive an understanding and adherence to the 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

Our ideal candidate will have:

• Degree specialized in a Science, Technology, Engineering, 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 quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.

•  At least 1 year of experience working with at least one scripting language 

•  At least 1 year of experience utilizing business intelligence visualization tool 

•  At least 1 year of experience querying, analyzing and working with data languages and platforms

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 2 years of experience coding in Python, R, Spark, or SQL

• At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.

• At least 1 year of experience utilizing and developing within AWS services

• At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

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