Position Overview

At Capital One, data is at the center of everything we do. What started as a startup disrupting the credit card industry with personalized credit card offers through statistical modeling has elevated us to a Fortune 200 company and a leader in data-driven decision-making. In this role, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business challenges.

Key Responsibilities

• Use Open Source/Digital technologies to mine complex, voluminous, and diverse data sources and platforms.
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
• Demonstrate the ability to explore and quickly grasp new technologies to progress varied initiatives.
• Partner with the business to translate needs into tools, techniques, metrics, and dashboards for data visualization and insights.
• Drive analysis that provides meaningful insights on business strategies.
• Ensure adherence to data quality management principles including metadata, lineage, and business definitions.
• Collaborate with Tech teams to manage security mechanisms and data access governance.
• Develop and execute tools to monitor and report on data quality.

Required Qualifications

• Degree specialized in a Science, Technology, Engineering, or Mathematics discipline.
• Scripting experience in Python, R, Spark, and SQL with strong desire and experience handling diverse data forms (data warehouses/SQL and unstructured data).
• Experience utilizing and developing within Snowflake services.
• Currently pursuing or completed a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) with at least 2 years of data analytics experience, or a Master's Degree with the expectation of completion on or before the start date.
• At least 1 year of experience working with a 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 various 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 with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
• At least 1 year of experience utilizing and developing within AWS services.
• At least 1 year of experience with data governance, data quality management concepts, and data quality tools (e.g., Informatica DQ).

Benefits & Perks

• Compensation: Remote (Regardless of Location): $99,100 - $113,100; McLean, VA: $109,000 - $124,400. Additional locations will have corresponding pay ranges, as detailed in the offer letter.
• Incentives: Eligibility for performance-based incentive compensation, including cash bonus(es) and/or long-term incentives.
• Benefits: A comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.