Credit Systems Data Analyst

Western Alliance Bank•San Diego, CA

34d•$92,450 - $114,203

About The Position

The Credit Systems Data Analyst works in Credit Administration and supports the institution’s LFI aligned risk, credit, and data ecosystem by managing analytical workflows, enhancing system functionality, and contributing to scalable and controlled processes appropriate for a Category IV bank. This role places strong emphasis on Python, SQL for troubleshooting and validation, and familiarity with APIs to enable efficient integrations and automation. Critical to success in this position is the ability to display a high level of independent problem solving, prioritization, adaptability, on-time implementation and the ability to support diverse projects/problems. Bachelor’s degree in Accounting, Finance, Business, Information Systems, Statistics, or related field. 6+ years of related experience. Intermediate knowledge of general banking operations, including deposit operations, loan administration, treasury management and/or other commercial banking products and services. Intermediate knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices. Intermediate to advanced experience in application testing skills to be able to create test cases and for documentation. Intermediate to advanced MS Excel skills and the ability to create pivot tables, perform XLOOKUPs, use conditional logic, compare data, and banking applications. Intermediate speaking and writing communication skills. Intermediate experience in banking, credit systems, risk analytics, or financial data roles. Intermediate experience in Python for workflow automation, data analysis, and process improvements. intermediate experience in SQL focused on querying, data validation, and troubleshooting. Knowledge of API frameworks and their use in system integrations or automation. Strong communication skills and the ability to operate independently or collaboratively. Experience with Moody’s CreditLens or similar credit/risk workflow platforms preferred. Exposure to cloud data environments and/or data governance frameworks preferred.

Requirements

6+ years of related experience.
Bachelor's degree in Accounting, Finance, Business, Information Systems, Statistics, or related field.
Intermediate knowledge of general banking operations, including deposit operations, loan administration, treasury management and/or other commercial banking products and services.
Intermediate knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices.
Intermediate to advanced experience in application testing skills to be able to create test cases and for documentation.
Intermediate to advanced MS Excel skills and the ability to create pivot tables, perform XLOOKUPs, use conditional logic, compare data, and banking applications.
Intermediate speaking and writing communication skills.
Intermediate experience in banking, credit systems, risk analytics, or financial data roles.
Intermediate experience in Python for workflow automation, data analysis, and process improvements.
intermediate experience in SQL focused on querying, data validation, and troubleshooting.
Knowledge of API frameworks and their use in system integrations or automation.
Strong communication skills and the ability to operate independently or collaboratively.

Nice To Haves

Experience with Moody’s CreditLens or similar credit/risk workflow platforms preferred.
Exposure to cloud data environments and/or data governance frameworks preferred.

Responsibilities

managing analytical workflows
enhancing system functionality
contributing to scalable and controlled processes appropriate for a Category IV bank
troubleshooting and validation
efficient integrations and automation
independent problem solving
prioritization
adaptability
on-time implementation
support diverse projects/problems