Capital One National Association
Principal Data Analyst, Card
Capital One National Association, Richmond, Virginia, United States, 23214
Locations: VA - McLean, United States of America, McLean, Virginia
Principal Data Analyst, CardAt Capital One, data is at the center of everything we do. Our credit card business is powered by data and analytics and a passion to help use credit wisely. Our credit card products serve more than 87 million customers with 20+ personal and business card offerings. 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.
ResponsibilitiesOn 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.
QualificationsOur 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.
Minimum Requirements
Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining a PhD with an expectation that required degree will be obtained on or before the scheduled start date.
At least 3 years of experience in at least one scripting language.
At least 1 year of experience utilizing a business intelligence visualization tool.
At least 3 years of experience in querying and analyzing and working with data languages and platforms.
Preferred Qualifications
Master’s Degree in a Science, Technology, Engineering, 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.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
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Principal Data Analyst, CardAt Capital One, data is at the center of everything we do. Our credit card business is powered by data and analytics and a passion to help use credit wisely. Our credit card products serve more than 87 million customers with 20+ personal and business card offerings. 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.
ResponsibilitiesOn 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.
QualificationsOur 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.
Minimum Requirements
Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining a PhD with an expectation that required degree will be obtained on or before the scheduled start date.
At least 3 years of experience in at least one scripting language.
At least 1 year of experience utilizing a business intelligence visualization tool.
At least 3 years of experience in querying and analyzing and working with data languages and platforms.
Preferred Qualifications
Master’s Degree in a Science, Technology, Engineering, 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.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
#J-18808-Ljbffr