Data Analyst

Key Responsibilities

Analyze if a newly logged data concern is/related to an existing data concern/issue.
Conduct Root Cause Analysis which determines the Break Point for Remediation. Defects identified in this process will answer “What” is broken, “where” the break occurred, and the underlying Root Cause, the "Why” of the occurrence.
Review and validate data provided and obtain new data where required to commence the Root Cause Analysis (RCA) Process.
Analyze 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

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) from a Risk, Finance, Compliance or, Operations perspective.
Strong Data 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.