Tagcor

Data Analyst

Data Quality Assessment: Conduct thorough assessments of data quality, including accuracy, completeness, consistency, and timeliness.
Data Profiling: Analyze data to understand its structure, content, and potential issues.
Data Cleaning: Implement data cleaning techniques to eliminate errors, inconsistencies, and duplicates.
Data Validation: Develop and execute data validation rules to ensure data integrity.
Data Standardization: Enforce data standards and guidelines to maintain consistency across systems.
Root Cause Analysis: Investigate the root causes of data quality problems and recommend corrective actions.
Data Quality Metrics: Develop and monitor key performance indicators (KPIs) to measure data quality.
Data Governance: Contribute to the development and implementation of data governance policies and procedures.
Collaboration: Work closely with business analysts, data engineers, and other stakeholders to understand data requirements and ensure data quality.
Data Visualization: Create clear and informative data visualizations to communicate data quality insights to stakeholders.