Senior Data Analyst, Global Network - MIS

Senior Data Analyst, Global Payment Network - MIS

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.

As a Senior Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

The Management Information Systems (MIS) Data Analytics team, within the Global Payment Network (GPN) business, provides analytical solutions to payment businesses covering the whole lifecycle of network processes. The MIS team aims to safeguard the integrity of the Discover Network ecosystem by gathering data that traverses on the GPN platforms and reducing data discrepancies through proactive monitoring of the data and providing data-driven insights.

The team is focused on enhancing the data accuracy of the products enabled on the network and building data as a product. This role is focused on data deep dives and building products based on the data that we receive from network partners.

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.

This role is…