Senior Data Analyst - Card

About the role

Senior Data Analysts at Capital One leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day, they are challenged on three types of work:

• 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.

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 (Python, R, Spark, SQL).
• 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.

Qualifications

• Degree specialized in a Science, Technology, Engineering, Mathematics discipline.
• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data).
• Experience utilizing and developing within AWS services.

Preferred Qualifications

• 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).