Senior Data Analyst - Emerging Payments

Senior Data Analyst - Emerging Payments

As a Senior Data Analyst at Capital One, you will leverage analytic and technical skills to innovate and build well-managed data solutions and capabilities to tackle problems in the digital payments space. You will team with world-class professionals to test marketing strategies that ultimately impact the bottom line. You will support new digital payment experiences, executing marketing strategies and monitoring performance, and run experiments for new features and experiences. And you will do it all in a collaborative environment that encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.

This role is for the Strategy & Analytics team within the Emerging Payments organization. The Emerging Payments organization develops innovative digital payment capabilities and experiences for Capital One customers, including digital wallets, virtual card numbers, and merchant checkout experiences. The Emerging Payments Strategy & Analytics team drives all of the analytical and strategic work across the organization by generating insights that help us understand our products and customers, and enable data-driven decision-making for long term success.

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)

 

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 rol