SENIOR DATA ANALYST

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