At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper.

Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One.

We are looking for an exceptional and innovative Senior Data Analyst to solve complex business and product challenges across our Enterprise Data Product teams. You will lead Product Analytics to measure and improve the performance and health of our Products and Platforms, transforming complex data into actionable, AI-enabled insights that shape product strategy and drive better decisions. If you are a strategic thinker who thrives on solving complex problems and using Data and AI to influence product development, this is an opportunity to make a meaningful impact.

On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management:

Innovation

Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

Drive analysis that provides meaningful insights on business strategies

Data Management

Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

Degree specialized in a Science, Technology, Engineering, Mathematics discipline

Scripting experience in (Python, R, Spark, and SQL)

Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

Experience utilizing and developing within Snowflake services

Basic Qualifications:

Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.

At least 1 year of experience working with at least one scripting language

At least 1 year of experience utilizing business intelligence visualization tool

At least 1 year of experience querying, analyzing and working with data languages and platforms

Preferred Qualifications:

Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

At least 2 years of experience coding in Python, R, Spark, or SQL

At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.

At least 1 year of experience utilizing and developing within AWS services

At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)