Senior Data Analyst

About This Role

As a Senior 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. This role focuses on innovation, business intelligence, and data management to drive insights and improve data quality within a Fortune 200 company.

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

• Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
• 2+ years of experience performing data analytics
• 1+ year of experience working with at least one scripting language
• 1+ year of experience utilizing business intelligence visualization tool
• 1+ year of experience querying, analyzing and working with data languages and platforms

Qualifications

• Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
• 2+ years of experience performing data analytics

Nice to Have

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline
• 2+ years of experience coding in Python, R, Spark, or SQL
• 2+ years of experience working within process management and improvement methodologies (Agile, Lean, Six Sigma, etc.)
• 1+ year of experience utilizing and developing within AWS services
• 1+ year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

Skills

* Required skills

Benefits