Senior Data Analyst - Emerging Payments & AirKey

Join Capital One as a Senior Data Analyst focused on emerging payments and AirKey. This hybrid role in New York, NY helps you turn complex data into practical tools, dashboards, and data solutions that support business strategy. You will work across Innovation, Business Intelligence, and Data Management, using modern technologies such as Python/R/Spark/SQL and Snowflake, alongside open source and digital data sources.

Compensation for this role in New York, NY is USD 121,300 - 138,400 per year. You may also be eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Capital One also offers a comprehensive, competitive, and inclusive set of health, financial and other benefits.

Responsibilities

• Use Open Source/Digital technologies to mine complex, high-volume, and varied data sources and platforms.
• Build well-managed data solutions, tools, and capabilities that enable self-service data frameworks for data consumers.
• Learn and quickly get up to speed on new technologies to advance multiple initiatives.
• Partner with business stakeholders to translate needs into tools, techniques, metrics, and data visualization for insights.
• Drive analysis that supports business strategies with meaningful, actionable insights.
• Support data quality management practices, including metadata, lineage, and business definitions.
• Collaborate with appropriate Tech teams to manage security mechanisms and data access governance.
• Build and execute tools to monitor and report on data quality.

Requirements

• A Bachelor’s Degree or Master’s Degree in a Science, Technology, Engineering, Mathematics (STEM) discipline.
• Scripting experience in Python, R, Spark, and SQL.
• Experience with data in multiple forms, including data warehouses/SQL and unstructured data.
• Experience utilizing and developing within Snowflake services.
• Currently has (or is in the process of obtaining) a Bachelor’s degree in a 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 the 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 a 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 STEM 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 utilizing 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.

Work Location and Authorization

• This role is designated as hybrid. You are expected to follow Capital One’s hybrid policy for required on-site presence at your designated office location.
• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Application window: This role is expected to accept applications for a minimum of 5 business days.

Additional statements: No agencies please. Capital One is an equal opportunity employer committed to non-discrimination. Capital One promotes a drug-free workplace.

Accommodation: If you require an accommodation to search or apply for employment opportunities, contact Capital One Recruiting at 1-800-304-9102 or [email protected]. For technical support or questions about the recruiting process, email [email protected].