Senior Data Analyst - Commercial Analytics
About the position Senior Data Analyst - Commercial Analytics 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 by 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 Snowflake services Responsibilities • 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 Requirements • 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 2 years of experience performing 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 working with at least one scripting language • At least 1 year of experience utilizing business intelligence visualization tool • At least 1 year of experience querying, analyzing and working with data languages and platforms • 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 Snowflake services Nice-to-haves • 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) Benefits • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. • Learn more at the Capital One Careers website . • Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. • This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 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