Principal Data Analyst - Credit Risk and Innovation

Overview

Principal Data Analyst - Credit Risk and Innovation at Capital One. Join to apply for the Principal Data Analyst - Credit Risk and Innovation role at Capital One.

At Capital One, data is at the center of everything we do. You will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. In Capital One’s Credit Review, we provide independent and objective assurance relative to credit risk management. You will partner with credit reviewers, data scientists, product managers and engineers to innovate solutions that impact the company’s bottom line.

You will work in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.

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

• Innovation:
  Use Open Source/Digital technologies to mine complex data sources and platforms; build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers; explore and grasp new technologies to progress initiatives
• Business Intelligence:
  Partner with the business to translate needs into tools, techniques, metrics, and dashboards for insights and data visualization; drive analysis that informs business strategies
• Data Management:
  Promote data quality principles including metadata, lineage, and definitions; collaborate with Tech teams on security and data access governance; build and execute tools to monitor and report on data quality

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

• Bachelor’s degree plus at least 5 years of data analytics experience, or Master’s degree plus at least 3 years, or PhD with expected completion by start date
• At least 3 years of experience in at least one scripting language
• At least 1 year of experience using a business intelligence visualization tool
• At least 3 years of experience querying and analyzing data languages and platforms

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

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is eligible for performance-based incentives which may include cash bonuses and/or long-term incentives. Capital One offers a comprehensive benefits package. Salaries vary by location and are provided for specific locations where the role may be hired. This role is also eligible to earn incentives, which may be discretionary or non-discretionary depending on the plan.

Health, financial and other benefits are available; eligibility varies by status.

Hybrid role; associates are expected to spend three days per week in the office. Locations include McLean, VA;
Richmond, VA;
Riverwoods, IL;
Chicago, IL; and other locations with pay ranges by location. The exact salary and location will be confirmed in the offer letter.

• Full-time

• Mid-Senior level

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