Data Quality Analyst - Senior 1
Summary
Senior data quality analyst at Cummins owning enterprise data quality: cataloguing business attributes, developing DQ rules and KPIs, profiling and validating data, leading root-cause analysis, and embedding quality practices across the data lifecycle.
- Catalogue business attributes for data discovery
- Coach data collection and integration guidelines
- Conduct data profiling
- Coordinate data stewardship activities
- Create and execute data quality action plans
- Develop data quality KPIs
- Develop data quality rules
- Embed data quality practices in data lifecycle
- Escalate data quality issues
- Identify and mitigate data quality risks
- Implement automated data profiling and validation
- Implement enterprise data quality framework
- Lead data and systems analysis for data governance
- Lead data quality and integrity
- Maintain data quality rules
- Manage business rule management
- Manage issue and scorecard processes
- Manage metadata and data standards
- Perform data exploration
- Perform root cause analysis
- Proactively remediate data quality issues
- Reconcile and monitor data quality
- Report data quality risks and KPI statistics
- Run data certification processes
- Support business data analysis
- Validate data lineage