Data Quality Analyst-11160-Hybrid
Responsibilities
- Perform data quality audits, identify data collection issues, suggest improvements, and help implement fixes.
- Support the documentation and implementation of data quality policies, standards, and procedures for both legacy and new data environments.
- Identify areas for data quality improvements and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies
- Own design, develop and deliver data quality and data profile best practices
Requirements
- 2+ years of data quality experience
- 2+ years of SQL, and data modeling
- 4+ years of related experience in data governance/data management/quality assurance
- Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solution(s), document the changes, and communicate to the change to the organization
- Experience in defining and implementing data governance best practices, documenting data flow & process mapping, or a data steward responsible for the metadata management, data quality, KPIs, etc.
- Strong experience in documenting data requirements, data strategy and data rules (standardization, cleanse, and validation)
Top 3 Skills
- Data quality expertise
- SQL
- Data governance