Data and Analytics Analyst III

Description

Position Summary

We are seeking a highly driven and experienced Data and Analytics Analyst to support the modernization of risk processes through the Enterprise Data Platform (EDP) and related automation initiatives.

In this role, you will partner with the Risk team to build scalable, role-based data products and systems that enable self-service reporting and enhanced decision-making. Responsibilities include developing custom Python dashboards to support predictive analytics and serving both routine and specialized use cases within the Risk Finance domain. The ideal candidate will have strong financial domain expertise, particularly in revenue and profit analytics, and a demonstrated ability to work across technical and business teams.

Key Responsibilities

• Conduct stakeholder interviews to understand current manual workflows, challenges, and risk exposures.
• Collaborate with IT, finance, and business partners to design and deliver automated solutions that integrate seamlessly into existing systems.
• Define and document business objectives, project success criteria, and risk mitigation strategies for database and tool development.
• Perform gap analyses to identify areas for operational improvement and data enhancement.
• Develop detailed functional and technical requirements for databases, automation tools, and reporting dashboards.
• Contribute to the design, development, and maintenance of financial forecasting products and reporting systems.
• Work with IT to define database schemas, ETL processes, validation rules, and data integration points.
• Analyze current data sources to determine the structure and scope of the future-state system.
• Establish robust validation rules and exception handling frameworks.
• Design test plans and lead User Acceptance Testing (UAT) efforts.
• Create comprehensive user guides, technical documentation, and workflow overviews.
  
  

Required Skills And Qualifications

• Bachelor’s degree in a quantitative or technical discipline (e.g., Mathematics, Computer Science, Finance, Economics, Statistics).
• 5 years of experience in Data Science, Process Improvement, or Data Analysis.
• Expertise in process mapping, gap analysis, and requirements gathering.
• Proficiency in at least one of the following: Python, R, SAS, or SQL.
• Strong knowledge of database design, ETL pipelines, and data validation strategies.
• Experience designing or implementing analytics tools in a Risk or Finance context.
• Analytical, resourceful, and proactive in approaching complex problem-solving.
  
  

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause or notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.