Data Quality Analysis

Meritore Technologies is seeking a seasonal Data Quality Analyst to ensure data accuracy, consistency, and reliability. The role involves performing data profiling, cleaning, validation, integration, and continuous monitoring while collaborating with stakeholders to resolve data quality issues.

Responsibilities:

• Data Profiling: Profiling is the process of looking at the structure, patterns, and content of data to find problems like missing information or mistakes. It helps analysts spot hidden issues that could affect the quality of the data
• Data Cleaning: Cleaning involves correcting or excluding inaccurate, incomplete, or irrelevant data to maintain an error-free dataset for further analysis
• Data Validation: is carried out to ensure that the data meets predefined standards and business rules. This process confirms that data is accurate, with all required fields populated, correct data types, and values within acceptable ranges
• Data Integration: Integration is the merging of data from different sources into a unified view. A data quality analyst makes sure that data is consistent and compatible and resolves discrepancies that arise during the integration process
• Data Monitoring: involves continuously tracking and data to confirm its accuracy, consistency, and reliability over time. A data quality analyst keeps an eye on the data at regular intervals to ensure its accuracy and consistency so that any new problems can be rapidly identified