Senior Data Analyst - Office of the Chief Data Officer, Central Analytics

Capital One • McLean, VA

7d • $111,200 - $126,900 • Hybrid

About The Position

Capital One is seeking an innovative Senior Data Analyst to address complex business and product challenges across Enterprise Data Product teams. The role leads Product Analytics to measure and improve product and platform performance and health, transforming complex data into actionable, AI-enabled insights that inform product strategy and decisions. The analyst works collaboratively with Product, Technology, Design, Risk, and other partners to support a scalable, future-ready enterprise data ecosystem.

The work spans innovation, business intelligence, and data management. It includes mining complex and varied data sources using open-source and digital technologies; building well-managed data solutions, tools, and self-service capabilities; consulting with business partners and developing analytics, metrics, dashboards, and visualizations; delivering analysis that informs business strategies; advancing data quality practices such as metadata, lineage, and business definitions; coordinating with Technology teams on security and data access governance; and creating tools to monitor and report on data quality.

This is a hybrid role subject to Capital One’s hybrid policy and required on-site presence at the designated office location. The listed full-time annual salary range for McLean, Virginia is $111,200–$126,900. The role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One will consider sponsoring a qualified new applicant for employment authorization.

Requirements

• Currently hold or be pursuing a bachelor’s degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field, plus at least 2 years of data analytics experience; alternatively, currently hold or be pursuing a master’s degree, with the required degree obtained by the scheduled start date.
• At least 1 year of experience working with at least one scripting language.
• At least 1 year of experience using a business intelligence visualization tool.
• At least 1 year of experience querying, analyzing, and working with data languages and platforms.
• The ideal candidate has a degree specialized in a Science, Technology, Engineering, or Mathematics discipline.
• The ideal candidate has scripting experience with Python, R, Spark, and SQL.
• The ideal candidate has a strong interest in and experience working with data in varied forms, including data warehouses/SQL and unstructured data.
• The ideal candidate has experience using and developing within Snowflake services.

Nice To Haves

• 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 with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
• At least 1 year of experience using and developing within AWS services.
• At least 1 year of experience with data governance and data quality management concepts and data quality tools such as Informatica DQ.

Responsibilities

• Lead Product Analytics to measure and improve the performance and health of products and platforms.
• Transform complex data into actionable, AI-enabled insights that shape product strategy and support better decisions.
• Use open-source and digital technologies to mine complex, voluminous, and varied data 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.
• Consult with business partners and translate business needs into tools, techniques, metrics, dashboards, and data visualizations.
• Conduct analysis that provides meaningful insights on 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.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

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