Capital One
Senior Data Analyst- Risk Management
Capital One, Mc Lean, Virginia, us, 22107
Locations: VA - Richmond, United States of America, Richmond, VirginiaSenior Data Analyst- Risk Management
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.Risk Management is an enterprise-wide second line function that helps drive and shape the company's risk position. Through various departments like Enterprise, Operational, Financial, Technology, and Credit Risk, Capital One's risk organizations develop programs to identify and mitigate threats and uncertainties that could negatively impact the company. Instrumental to the success of these programs are the impacts analytics has on the design and implementation stages.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 platformsBuild well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumersDemonstrate ability to explore and quickly grasp new technologies to progress varied initiativesBusiness 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 visualizationDrive analysis that provides meaningful insights on business strategiesData Management
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitionsWork collaboratively with appropriate Tech teams to manage security mechanisms and data access governanceBuild and execute tools to monitor and report on data qualityOur ideal candidate will have:Degree specialized in a Science, Technology, Engineering, Mathematics disciplineScripting 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 servicesBasic Qualifications:
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 with an expectation that required degree will be obtained on or before the scheduled start date.At least 1 year of experience in at least one scripting languageAt least 1 year of experience utilizing a business intelligence visualization toolAt least 1 year of experience in querying and analyzing and working with data languages and platformsPreferred Qualifications:
Master's Degree in a Science, Technology, Engineering, Mathematics disciplineAt least 2 years of experience coding in Python, R, Spark, or SQLAt 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 servicesAt 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.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. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.
#J-18808-Ljbffr
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.Risk Management is an enterprise-wide second line function that helps drive and shape the company's risk position. Through various departments like Enterprise, Operational, Financial, Technology, and Credit Risk, Capital One's risk organizations develop programs to identify and mitigate threats and uncertainties that could negatively impact the company. Instrumental to the success of these programs are the impacts analytics has on the design and implementation stages.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 platformsBuild well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumersDemonstrate ability to explore and quickly grasp new technologies to progress varied initiativesBusiness 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 visualizationDrive analysis that provides meaningful insights on business strategiesData Management
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitionsWork collaboratively with appropriate Tech teams to manage security mechanisms and data access governanceBuild and execute tools to monitor and report on data qualityOur ideal candidate will have:Degree specialized in a Science, Technology, Engineering, Mathematics disciplineScripting 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 servicesBasic Qualifications:
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 with an expectation that required degree will be obtained on or before the scheduled start date.At least 1 year of experience in at least one scripting languageAt least 1 year of experience utilizing a business intelligence visualization toolAt least 1 year of experience in querying and analyzing and working with data languages and platformsPreferred Qualifications:
Master's Degree in a Science, Technology, Engineering, Mathematics disciplineAt least 2 years of experience coding in Python, R, Spark, or SQLAt 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 servicesAt 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.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. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.
#J-18808-Ljbffr