Capital One
Principal Data Analyst - Global Payment Network (Discover)
Capital One, Chicago, Illinois, United States, 60290
Principal Data Analyst - Global Payment Network (Discover)
Join to apply for the
Principal 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 individually personalizing every credit card offer using statistical modeling and relational databases. Our passion for data has grown into 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 integration effort. GNA stands for Global Network Analytics within Discover's Global Payment Network (GPN). The GNA department provides analytical solutions to payment businesses covering the entire lifecycle of participant management, handling topics such as 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 advance varied initiatives
Business Intelligence
Partner with the business to provide consulting 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 an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Collaborate with relevant technical 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 AWS services
Basic Qualifications
Currently holds, 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 field) plus at least 5 years of experience performing data analytics
Master’s Degree plus at least 3 years performing data analytics, with an expectation that the required degree will be obtained on or before the scheduled start date
At least 3 years of experience working with at least one scripting language
At least 3 years of experience using a business intelligence visualization tool
At least 3 years of experience in querying, analyzing, and working with data languages and platforms
Preferred Qualifications
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 4 years of experience coding in Python, R, Spark, or SQL
At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
At least 2 years of experience utilizing and developing within AWS services
At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
Compensation and Benefits
Salaries range from $115,900 to $158,700 per year depending on location: Riverwoods, IL; Chicago, IL; New York, NY.
Potential for performance‑based incentive compensation, including cash bonuses and long‑term incentives.
Comprehensive health, financial, and other benefits that support overall well‑being.
Capital One will consider sponsoring qualified applicants for employment authorization for this position.
This role is expected to remain open for at least 5 business days.
No agencies please.
Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
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Principal 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 individually personalizing every credit card offer using statistical modeling and relational databases. Our passion for data has grown into 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 integration effort. GNA stands for Global Network Analytics within Discover's Global Payment Network (GPN). The GNA department provides analytical solutions to payment businesses covering the entire lifecycle of participant management, handling topics such as 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 advance varied initiatives
Business Intelligence
Partner with the business to provide consulting 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 an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Collaborate with relevant technical 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 AWS services
Basic Qualifications
Currently holds, 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 field) plus at least 5 years of experience performing data analytics
Master’s Degree plus at least 3 years performing data analytics, with an expectation that the required degree will be obtained on or before the scheduled start date
At least 3 years of experience working with at least one scripting language
At least 3 years of experience using a business intelligence visualization tool
At least 3 years of experience in querying, analyzing, and working with data languages and platforms
Preferred Qualifications
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 4 years of experience coding in Python, R, Spark, or SQL
At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
At least 2 years of experience utilizing and developing within AWS services
At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
Compensation and Benefits
Salaries range from $115,900 to $158,700 per year depending on location: Riverwoods, IL; Chicago, IL; New York, NY.
Potential for performance‑based incentive compensation, including cash bonuses and long‑term incentives.
Comprehensive health, financial, and other benefits that support overall well‑being.
Capital One will consider sponsoring qualified applicants for employment authorization for this position.
This role is expected to remain open for at least 5 business days.
No agencies please.
Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
#J-18808-Ljbffr