seasonal Data Quality Analyst

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: Data Quality Analyst (Remote- USA)

Looking for a seasonal Data Quality Analyst who will ensure data accuracy consistency and reliability by performing data profiling cleaning validation integration and continuous monitoring while collaborating with stakeholders to resolve data quality issues

Roles and 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.

Experience: -

8 Years

Location: - USA

Remote

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Role: Data Quality Analyst (Remote- USA) Looking for a seasonal Data Quality Analyst who will ensure data accuracy consistency and reliability by performing data profiling cleaning validation integration and continuous monitoring while collaborating with stakeholders to resolve data quality issues ...