Description

You will own the data quality lifecycle by analyzing flows, defining rules, and driving systematic remediation.

Responsibilities

• Analyze data flows and transformations to identify root causes of quality issues and facilitate remediation.
• Execute large-scale multi-way comparisons against internal and external sources to identify trends and measure quality.
• Profile data and design new quality rules and controls, working with implementation teams to align with business needs.
• Prioritize data quality exceptions and critical issues based on their material impact on business and regulatory processes.
• Develop and implement reporting and data visualization dashboards to communicate quality measurements.

Required Skills

• 5+ years of experience in data analysis or data quality roles.
• Proficiency in SQL and Query Design.
• Advanced use of Microsoft Excel.
• Experience with Data Profiling and Data Controls.
• Ability to perform Root Cause Analysis and Pattern Recognition.
• Experience using JIRA for issue tracking.
• Experience with Collibra.
• Proven ability in Management Reporting and Problem Solving.
• Any Graduate degree.

Preferred Skills

• Python programming.
• R Programming.

Key Skills

Education

Any Graduate