Data Quality Analyst
4 weeks ago
Daily Responsibilities:
- Data profiling
- DQ Rule design
- UAT
- Program Meetings
- Liaise with technology teams
- Troubleshoot issues
- Partner with Regulatory data consumers
• Understand data flows and transformations that are relevant to data usage. Perform analysis to find the cause of issues and facilitate the remediation of these issues.
• Responsible for large scale multi-way comparisons of data against various internal and external sources to identify trends and to measure overall data quality.
• Profile data and develop new data quality rules and controls, and work with implementation teams to ensure that controls align to business needs. Support the refinement of controls as requirements evolve.
• Prioritize issues and data quality exceptions through measuring their material impact on business and regulatory processes. Escalate critical issues as needed.
• Collaborate with stakeholders to understand the data issues and lead issue management initiatives.
• Develop and implement reporting and data visualization dashboards to articulate trends and data quality measurements.
• Support the root cause analysis of data issues utilizing advanced pattern recognition and machine learning.
• Identify and coordinate system and process enhancements and improvements.
What program/technology/software knowledge is essential for this role?
SQL, Microsoft Excel, Query Design, JIRA, Collibra
Must-have Skills/Experiences :
Data Controls, Query Design, Microsoft Excel, Data Profiling, Pattern Recognition, SQL, Data Analysis, Root Cause Analysis, Management Reporting, Problem Solving
Bachelor’s Degree
Nice-to-have Skills:
Python, R Programming
Master’s Degree
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