Senior Data Analyst - US Card

About the role

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. You will be challenged by three types of work – Innovation, Business Intelligence, and Data Management.

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
• Explore and quickly grasp new technologies to progress varied initiatives
• Partner with the business to provide consultancy and translate business needs into design and development of 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

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)

Skills

• Scripting experience in (Python, R, Spark, and SQL)
• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Pay

• Salaries for Sr. Data Analyst positions vary by location, ranging from $101,100 - $115,400 in Richmond, VA to $111,200 - $126,900 in McLean, VA.

Schedule

• The role is Hybrid, with associates expected to consistently spend three days per week in the office.