Principal Data Analyst - Strategy and Analytics

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 on 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 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 5 years of experience performing data analytics
• A Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date
• At least 3 years of experience working with at least one scripting language (Python, R, Spark, SQL)
• At least 3 years of experience utilizing a business intelligence visualization tool
• At least 3 years of experience in querying, analyzing and working with data languages and platforms

Qualifications

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 4 years of experience coding in Python, R, Spark, or SQL
• At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• At least 2 years of experience utilizing and developing within AWS services
• At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

Skills

• Scripting experience in (Python, R, Spark, and SQL)
• Sound statistical and machine learning experience, including regression, classifiers, clustering, and causal inference
• 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

Pay

• Salaries for Principal Data Analyst positions vary by location, ranging from $131,300 - $149,800 in McLean, VA to $143,200 - $163,500 in New York, NY.

Schedule

• Full-time positions are available.