Capital One is seeking a Senior Data Analyst to leverage analytics and technical skills to design, build, and maintain data solutions that tackle business problems. This on-site role supports three primary work streams: Innovation, Business Intelligence, and Data Management. - Innovation: mine complex and diverse data sources using open-source technologies; build well-managed data tools and self-service capabilities for data consumers; quickly grasp new technologies to advance initiatives. - Business Intelligence: collaborate with the business to translate needs into metrics, dashboards, and data visualizations that enable insights and informed decisions. - Data Management: promote data quality through metadata, lineage, governance; work with Tech teams to manage security and data access; develop and deploy tools to monitor data quality. Required qualifications: - Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) or related field; plus at least 1 year of data analytics experience, or currently pursuing a Master's with anticipated graduation by start date. - At least 1 year of hands-on experience with at least one scripting language (Python, R, Spark, SQL). - At least 1 year of experience with at least one BI/visualization tool; experience querying and analyzing data across data warehouses/SQL and unstructured data. - Preferred: Master's degree in STEM; 2+ years coding in Python, R, Spark, or SQL; experience with AWS and data governance/data quality tools (e.g., Informatica DQ); familiarity

Capital One is seeking a Senior Data Analyst to leverage analytics and technical skills to design, build, and maintain data solutions that tackle business problems. This on-site role supports three primary work streams: Innovation, Business Intelligence, and Data Management. - Innovation: mine complex and diverse data sources using open-source technologies; build well-managed data tools and self-service capabilities for data consumers; quickly grasp new technologies to advance initiatives. - Business Intelligence: collaborate with the business to translate needs into metrics, dashboards, and data visualizations that enable insights and informed decisions. - Data Management: promote data quality through metadata, lineage, governance; work with Tech teams to manage security and data access; develop and deploy tools to monitor data quality. Required qualifications: - Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) or related field; plus at least 1 year of data analytics experience, or currently pursuing a Master's with anticipated graduation by start date. - At least 1 year of hands-on experience with at least one scripting language (Python, R, Spark, SQL). - At least 1 year of experience with at least one BI/visualization tool; experience querying and analyzing data across data warehouses/SQL and unstructured data. - Preferred: Master's degree in STEM; 2+ years coding in Python, R, Spark, or SQL; experience with AWS and data governance/data quality tools (e.g., Informatica DQ); familiarity