Locations: VA - Richmond, United States of America, Richmond, Virginia
Senior 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:
+ 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
+ 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
+ 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
+ Bachelor’s Degree plus at least 5 years of experience in data analytics, or Master’s Degree
+ At least 1 year of experience in at least one scripting language
+ At least 1 year of experience utilizing a business intelligence visualization tool
+ At least 1 year of experience in querying and analyzing and working with data languages and platforms
+ 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.