Senior Data Analyst - Emerging Payments & AirKey

Capital One • McLean, VA

2d • $111,200 - $138,400 • Hybrid

About The Position

Capital One is seeking a Senior Data Analyst for Emerging Payments & AirKey. The role uses analytic and technical skills to build and maintain well-managed data solutions and capabilities that address business problems. Work spans innovation, business intelligence, and data management. The analyst will use open-source and digital technologies to explore complex data, enable self-service data use, and learn new technologies. They will partner with the business to translate needs into tools, techniques, metrics, and dashboards, and conduct analyses that inform business strategy. The role also promotes data quality and governance, including metadata, lineage, business definitions, security, access governance, and monitoring and reporting on data quality.

The position is designated hybrid and requires adherence to Capital One's hybrid policy for on-site presence at the designated office. Salary ranges depend on location: $111,200–$126,900 in McLean, Virginia, or $121,300–$138,400 in New York, New York. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers a comprehensive health, financial, and other benefits package, with eligibility varying by employment status and management level.

Requirements

• Currently hold or be in the process of obtaining 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 in the process of obtaining a master's degree, with the required degree 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 using a business intelligence visualization tool.
• At least 1 year of experience querying, analyzing, and working with data languages and platforms.

Nice To Haves

• A 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 and data quality management concepts and data quality tools such as Informatica DQ.
• Experience utilizing and developing within Snowflake services.
• Scripting experience in Python, R, Spark, and SQL.
• Experience with data in varied forms, including data warehouses/SQL and unstructured data.

Responsibilities

• Use open-source and digital technologies to mine complex, voluminous 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 translate business needs into 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 appropriate 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