Senior Data Analyst - Risk Product Data

About the role

At Capital One, data is at the center of everything we do. As a Data Analyst, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day, you will be challenged by three types of work: Innovation, Business Intelligence, and Data Management.

• 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 business needs into 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

• Degree specialized in a Science, Technology, Engineering, or Mathematics discipline
• Scripting experience in Python, R, Spark, and SQL
• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
• Experience utilizing and developing within Snowflake services

Qualifications

Basic Qualifications:

• Currently has, or is in the process of obtaining, a Bachelor’s Degree in a 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 the 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 a business intelligence visualization tool
• At least 1 year of experience querying, analyzing, and working with data languages and platforms

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, or 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 (e.g., Informatica DQ)

Pay

The minimum and maximum full-time annual salaries for this role are listed below by location. Salaries for part-time roles will be prorated based on the agreed-upon number of hours to be regularly worked.

• McLean, VA: $111,200 - $126,900 for Sr. Data Analyst
• Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst
• Chicago, IL: $101,100 - $115,400 for Sr. Data Analyst

Candidates hired to work in other locations will be subject to the pay range associated with that location. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more at the Capital One Careers website.