Senior Data Analyst - Global Network; Discover

Senior Data Analyst - Global Payment Network (Discover)

Join to apply for the Senior Data Analyst - Global Payment Network (Discover) role at Capital One

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 personallyizing every credit card offer using modeling and relational database technology in 1988. Fast-forward a few years, and this innovation and our passion for data have skyrocketed us to a Fortune 200 company and a leader in 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 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. Topics include marketing, pricing, fraud, optimization, automation, restitution, and even GenAI and text modeling.

Innovation

• Use open source/digital technologies to mine complex, voluminous, and varied 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 business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
• Drive analysis that provides meaningful insights on business strategies.

Data Management

• Drive understanding and adherence to 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 quantitative field plus at least 2 years of experience performing data analytics, or Master’s Degree with expectation of completion by 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 (e.g. 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 role are listed below, by location. Salaries for part‑time roles will be prorated based on the agreed number of hours to be regularly worked.

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
Other locations: subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire.

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…