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SENIOR DATA ANALYST

Chicago, IL, United States

Analyze if a newly logged data concern is/related to an existing data concern/issue.

• Conduct Root Cause Analysis

• Review and validate data provided and obtain new data where required to commence the Root Cause Analysis (RCA) Process.

• nalyze Data Quality Rule results to recommend Data Quality Rule modifications or, the need to investigate a Data-Related issue.

• Document the details of RCA by Recursive Data Transformation review and determine the Root causes of defects.

• Identify potential preventive measures, tactical and/or strategic system for fixes.

• Conduct detailed Impact Analysis

• Confirm Remediation Ownership

• Improve Data Quality rules including Data Construct, Critical Data Element, Rule registration in Collibra, scripting business rules, collaborating with Technology to implement Rules, Testing implementation of rules.

• Present Updates to Data Owners and Leadership in the form of Overview Documents, RCA Templates and other Presentations as required.

• Create Jira Stories and Close them with evidence at the end of each Sprint.

Minimum Qualifications

• 5-7 years plus experience in any of the following Data Management areas including, Data Cataloging, Data Lineage, Data Quality Rules, Score card Monitoring.

• Knowledge of consumer Banking Business/Product (Deposits, Cards, Loans, Mortgages), Wealth Products (Lending, Deposits to Private Banking Clients) and Global Operations from a Risk, Finance, Compliance or, Operations perspective.

• Strong Data Analysis, Business Analysis and Problem-solving skills using excel

• Thrives in a collaborative environment working with cross functional teams

• Strong interpersonal skills, interacting with clients both on the business side as well as technical specialists

• Has worked in an agile environment.

• Strong Communication and Presentation Skills

• Bachelor's degree in finance, Accounting, Economics, Engineering, Computer Science

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