Job
Description
As a Client Remediation Data Analyst at the company, your role involves managing a professional team to integrate subject matter expertise within a defined area. Your responsibilities include contributing to standards that others will operate by, developing an in-depth understanding of how areas integrate within the sub-function, and coordinating objectives across the entire function. Your communication and diplomacy skills are crucial for guiding, influencing, and convincing colleagues in other areas and regulators. You are responsible for volume, quality, timeliness, and delivery of end results within your area, along with short-term resource planning and indirect management of a cross-functional team for client population analytics. **Key Responsibilities**: - Manage the analysis of customer remediation issues for NAM Lines of Business (Cards, Retail bank, Mortgage & Ops) - Execute comprehensive data remediation approach on customer issues due to policy gaps or self-identification - Identify the size of impacted customers and dollar amounts due to these issues - Conduct issue management, root cause analysis, and leverage analytical methods - Support audits by tracking implementation plans and providing data evidence - Deliver routine outputs while developing knowledge of the broader context - Assess risks in business decisions to safeguard the firm's reputation and assets **Qualifications**: - At least 4 years of relevant experience - Ability to think strategically and engage resources outside direct control - Knowledge of analytic tools such as SAS E-miner, Knowledge Seeker, SPSS - Experience with big data and machine learning tools like R, Python is a plus **Tools and Platforms**: - Business Analysis, Requirement Gathering, Data Analysis - Exposure to SAS, SQL, RDBMS - Proficiency in MS Excel, PowerPoint, VBA - Familiarity with Jira, Bitbucket In addition to the above, a good understanding of banking domain and consumer products is preferred. The role requires a Bachelor's/University degree, Engineering, or MBA from a premier institute. Experience in the banking industry is advantageous. This position falls under the Decision Management category, offering a full-time schedule with a hybrid work model of at least 3 days in the office per week. The working hours are aligned with NAM's overlapping working hours. This job description provides an overview of the work performed, and other job-related duties may be assigned as required. As a Client Remediation Data Analyst at the company, your role involves managing a professional team to integrate subject matter expertise within a defined area. Your responsibilities include contributing to standards that others will operate by, developing an in-depth understanding of how areas integrate within the sub-function, and coordinating objectives across the entire function. Your communication and diplomacy skills are crucial for guiding, influencing, and convincing colleagues in other areas and regulators. You are responsible for volume, quality, timeliness, and delivery of end results within your area, along with short-term resource planning and indirect management of a cross-functional team for client population analytics. **Key Responsibilities**: - Manage the analysis of customer remediation issues for NAM Lines of Business (Cards, Retail bank, Mortgage & Ops) - Execute comprehensive data remediation approach on customer issues due to policy gaps or self-identification - Identify the size of impacted customers and dollar amounts due to these issues - Conduct issue management, root cause analysis, and leverage analytical methods - Support audits by tracking implementation plans and providing data evidence - Deliver routine outputs while developing knowledge of the broader context - Assess risks in business decisions to safeguard the firm's reputation and assets **Qualifications**: - At least 4 years of relevant experience - Ability to think strategically and engage resources outside direct control - Knowledge of analytic tools such as SAS E-miner, Knowledge Seeker, SPSS - Experience with big data and machine learning tools like R, Python is a plus **Tools and Platforms**: - Business Analysis, Requirement Gathering, Data Analysis - Exposure to SAS, SQL, RDBMS - Proficiency in MS Excel, PowerPoint, VBA - Familiarity with Jira, Bitbucket In addition to the above, a good understanding of banking domain and consumer products is preferred. The role requires a Bachelor's/University degree, Engineering, or MBA from a premier institute. Experience in the banking industry is advantageous. This position falls under the Decision Management category, offering a full-time schedule with a hybrid work model of at least 3 days in the office per week. The working hours are aligned with NAM's overlapping working hours. This job description provides an overview of the work performed, and other job-related duties may be assigned as required.
