Senior Data Analyst - Finance

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At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Within Finance you will work in a department that invests in ways to tell stories, view trends, and diagnose results in a more compelling and visual nature. You will have the opportunity to partner with business customers on driving strategic business direction that leads to sustainable performance and you will be asked to challenge our current well‑managed processes to be more proactive, effective and efficient.

Data Analysts perform data analysis in an Agile environment with Tech, Product, Business and Data Professionals to frequently build reports; provide data capability for Regulatory requirements; perform reporting, analysis and data validations to support presentation, predictive modeling and ad‑hoc requests.

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

• 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

• 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

• 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

• 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

• 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

• 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)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is…