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# Data Quality Analyst

- **Company:** Globalstor Data Corporation
- **Location:** Los Angeles, CA, United States
- **Experience:** Experienced
- **Salary:** $87,000.0 - $106,600.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Databases, Data Cleansing, Data Profiling, Information Management, Standard Sql, Information Technology, Data Management
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e3607f7ea73bb1e8

## About the Role

Are you passionate about data quality and have a keen eye for detail? Do you want to work for a leading data management company with a global presence? Then we have the perfect job opportunity for you!, * Bachelor's degree in Computer Science, Information Management, or a related field

 * 2+ years of experience in data quality analysis or a similar role
 * Strong analytical and problem-solving skills with a keen eye for detail
 * Proficient in SQL and experience working with databases
 * Knowledge of data quality tools and methodologies
 * Experience with data profiling, mapping, and standardization
 * Excellent communication and interpersonal skills
 * Ability to work independently and in a team environment

## Description

Globalstor Data Corporation LLC. is seeking a Data Quality Analyst to join our dynamic team. As a Data Quality Analyst, you will be responsible for ensuring the accuracy, consistency, and integrity of data across our organization., * Develop and implement data quality standards, policies, and procedures to improve data accuracy and reliability

 * Monitor and analyze data quality metrics to identify areas for improvement and implement corrective actions
 * Collaborate with data sources and stakeholders to understand and resolve data quality issues
 * Conduct data audits and identify data quality issues, root causes, and provide recommendations for resolution
 * Define and maintain data quality rules and perform regular data quality checks to ensure compliance
 * Communicate data quality processes and guidelines to internal teams and provide training as needed
 * Stay updated on industry trends and best practices related to data quality management and implement them within the organization


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