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

Capital One • McLean, VA

6d • Hybrid

About The Position

Capital One is seeking a Senior Data Analyst for its Office of the Chief Data Officer, Central Analytics, within the Enterprise Data team. The team works across Product, Technology, Design, Risk, and other partners to maximize the value of the data ecosystem and enable real-time, intelligent experiences on a scalable foundation. The analyst will address complex business and product challenges across Enterprise Data Product teams, leading Product Analytics to measure and improve product and platform performance and health. The role transforms complex data into actionable, AI-enabled insights that inform product strategy and decisions.

The work spans innovation, business intelligence, and data management. It includes using open-source and digital technologies to explore varied data sources, creating well-managed data solutions and self-service capabilities, consulting with business partners to develop analytic tools and visualizations, and supporting data quality, governance, security, and access practices.

This is a hybrid role that follows Capital One's hybrid policy for on-site presence at the designated office. 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.

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 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 in Python, R, Spark, and SQL.
• The ideal candidate has a strong interest in and experience with data in various 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 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, 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.
• Turn complex data into actionable, AI-enabled insights that shape product strategy and support better decisions.
• 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 business teams to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
• Conduct 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.
• 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