Virginia Staffing
Principal Data Analyst
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 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, 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
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 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, 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