Capital One National Association
Principal Data Analyst- Enterprise Services Risk Analytics
Capital One National Association, Mc Lean, Virginia, us, 22107
Overview
Principal Data Analyst - Enterprise Services Risk Analytics at Capital One. Data is at the center of our decision‑making and product development. We leverage data, analytics, and technology to build and maintain data solutions that tackle business problems. On any given day you will be challenged by three areas: Innovation, Business Intelligence, and Data Management.
Responsibilities
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 the ability to explore and quickly grasp new technologies to progress varied initiatives.
Business Intelligence: Partner with the 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 an understanding and adherence to data quality management principles including metadata, lineage, and business definitions; work collaboratively with Tech teams to manage security mechanisms and data access governance; build and execute tools to monitor and report on data quality.
Qualifications 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 a related field) plus at least 5 years of data analytics experience; or a Master’s Degree plus at least 3 years of data analytics experience with the requirement that the degree will be obtained by the start date.
At least 3 years of experience with at least one scripting language.
At least 3 years of experience using a business intelligence visualization tool.
At least 3 years 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 4 years of experience coding in Python, R, Spark, or SQL.
At least 4 years of experience in 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 in the financial services industry.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The salary range information provided is location‑based and applicable to candidates hired to work in specific locations. Salaries for part‑time roles will be prorated. This role may be eligible for performance incentives and additional compensation in accordance with Capital One policies.
Capital One offers a comprehensive, inclusive set of health, financial, and other benefits. Eligibility varies by full‑ or part‑time status and other factors.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable laws. Capital One maintains a drug‑free workplace and adheres to applicable background screening laws.
If you require accommodations during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information will be kept confidential as required by law.
Careers inquiries: For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com.
Capital One does not guarantee information or endorsements for third‑party products or services found outside Capital One’s official sites.
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Responsibilities
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 the ability to explore and quickly grasp new technologies to progress varied initiatives.
Business Intelligence: Partner with the 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 an understanding and adherence to data quality management principles including metadata, lineage, and business definitions; work collaboratively with Tech teams to manage security mechanisms and data access governance; build and execute tools to monitor and report on data quality.
Qualifications 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 a related field) plus at least 5 years of data analytics experience; or a Master’s Degree plus at least 3 years of data analytics experience with the requirement that the degree will be obtained by the start date.
At least 3 years of experience with at least one scripting language.
At least 3 years of experience using a business intelligence visualization tool.
At least 3 years 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 4 years of experience coding in Python, R, Spark, or SQL.
At least 4 years of experience in 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 in the financial services industry.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The salary range information provided is location‑based and applicable to candidates hired to work in specific locations. Salaries for part‑time roles will be prorated. This role may be eligible for performance incentives and additional compensation in accordance with Capital One policies.
Capital One offers a comprehensive, inclusive set of health, financial, and other benefits. Eligibility varies by full‑ or part‑time status and other factors.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable laws. Capital One maintains a drug‑free workplace and adheres to applicable background screening laws.
If you require accommodations during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information will be kept confidential as required by law.
Careers inquiries: For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com.
Capital One does not guarantee information or endorsements for third‑party products or services found outside Capital One’s official sites.
#J-18808-Ljbffr