Principal Data Analyst - Analytics & Transformation

Capital One • McLean, VA

1d • Hybrid

About The Position

At Capital One, data is central to its business and decision-making. The Principal Data Analyst will use analytic and technical skills to build and maintain well-managed data solutions and capabilities addressing business problems. The work spans innovation, business intelligence, and data management. The role uses open-source and digital technologies to analyze complex, high-volume, varied data; develops tools and self-service capabilities; partners with business stakeholders to translate needs into dashboards and other insights; and supports data quality, governance, security, and access management. This is a hybrid role subject to Capital One’s on-site attendance policy for the designated office location. The position is eligible for performance-based incentive compensation. The listed full-time annual salary ranges are $131,300–$149,800 in McLean, Virginia, and $119,400–$136,200 in Richmond, Virginia; pay for other locations depends on the applicable location range.

Requirements

• Currently has or is pursuing a bachelor’s degree in a quantitative field—such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science—or a related quantitative field, plus at least 5 years of data analytics experience; alternatively, a master’s degree plus at least 3 years of data analytics experience. The required degree must be obtained on or before the scheduled start date.
• At least 3 years of experience working with at least one scripting language.
• At least 3 years of experience using a business intelligence visualization tool.
• At least 3 years of experience querying, analyzing, and working with data languages and platforms.
• Strong desire and experience working with data in various forms, including data warehouses/SQL and unstructured data.
• Degree specialization in a Science, Technology, Engineering, or Mathematics discipline is stated as part of the ideal candidate profile.

Nice To Haves

• Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
• At least 4 years of experience coding in Python, R, Spark, or SQL.
• At least 4 years of experience working with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
• 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 in the financial services industry.
• Experience utilizing and developing within AWS services.

Responsibilities

• Use open-source and digital technologies to mine complex, high-volume data from varied sources and platforms.
• Build well-managed data solutions, tools, and capabilities that enable self-service frameworks for data consumers.
• Explore and quickly learn new technologies to advance varied initiatives.
• Partner with the business to understand needs and design and develop tools, techniques, metrics, and dashboards for insights and data visualization.
• Drive analysis that provides meaningful insights into business strategies.
• Promote understanding of and adherence to data quality management principles, including metadata, lineage, and business definitions.
• Collaborate with technology teams to manage security mechanisms and data access governance.
• Build and execute tools to monitor and report on data quality.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal