Senior Data Analyst - Global Network; Discover

Senior Data Analyst - Global Payment Network (Discover)

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.

This role will be hired as a Capital One associate but will play a critical part in project execution and delivery for Discover Financial Services as part of our integration effort. GNA stands for Global Network Analytics within Discover’s Global Payment Network (GPN) business. The GNA department provides analytical solutions to payment businesses covering the whole lifecycle of participant management. This department has a variety of teams that handle a plethora of topics including but not limited to marketing, pricing, fraud, optimization, automation, restitution, and even GenAI and text modeling.

On any given day you will be challenged on 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 AWS services

• Currently has, or is in the process of obtaining, a Bachelor’s Degree in a 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 expected completion 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

• 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 (e.g., Informatica DQ)

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

Riverwoods, IL: $99,100 - $113,100 for Sr. Data Analyst

Chicago, IL: $99,100 - $113,100 for Sr. Data Analyst

New York, NY: $118,900 - $135,700 for Sr. Data Analyst

This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI). Incentives could be discretionary or non‑discretionary depending on…