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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Quality Analyst - **Company:** VDart, Inc. - **Location:** Juno Beach, FL, United States - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Agile Methodology, Data Analysis, Big Data, Profiling, Computer Programming, Databases, Data Validation, Data Cleansing, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Profiling, Database Queries, Document-Oriented Databases, SQL Databases, Extensible Markup Language (XML), Enterprise Data Management, Scripting, Sap Business Objects, Information Technology, Data Management, Tools for Reporting, Data Inconsistencies - **Published:** July 22, 2026 - **Apply:** https://www.dice.com/job-detail/cd9fbe90-5405-4820-8f49-a6de40a0d24f ## About the Role * Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, or a related field. * Experience in Data Quality, Data Analysis, Data Management, Business Intelligence, or a related analytical role. * Strong understanding of data quality management, data governance, and enterprise data processes. * Experience working in cross-functional Agile or enterprise data environments. * Experience performing data validation, cleansing, profiling, and standardization across enterprise datasets. * Hands-on experience writing SQL queries for data analysis and validation. * Experience with ETL frameworks, data modeling, and enterprise data integration. * Experience using Business Objects or similar reporting and dashboard development tools. * Knowledge of data governance, compliance standards, and master data management (MDM). * Experience conducting root cause analysis and implementing corrective actions for data quality issues. * Experience supporting business intelligence, reporting, and analytics environments. * Exposure to XML, JavaScript, or similar programming/scripting languages is preferred. Key Skills SQL, Data Quality Management, Data Validation, Data Cleansing, Data Profiling, Data Standardization, Data Modeling, ETL, Data Integration, Data Governance, Master Data Management (MDM), Root Cause Analysis, Business Objects, Reporting, Dashboard Development, Business Intelligence, XML, JavaScript, Data Analysis, Process Improvement, Data Integrity, Stakeholder Management, Analytical Skills, Problem Solving, Communication, Collaboration ## Description We are seeking a detail-oriented Data Quality Analyst to ensure the accuracy, consistency, completeness, and reliability of enterprise data supporting business intelligence and operational decision-making. The ideal candidate will have experience in data quality management, SQL, data validation, ETL processes, data governance, reporting, and root cause analysis. This role will collaborate with cross-functional teams to identify data issues, implement corrective actions, and improve overall data integrity across enterprise systems., * Develop, implement, and maintain data quality standards, validation rules, and governance policies to ensure accurate and reliable enterprise data. * Perform data profiling, validation, cleansing, standardization, and reconciliation to improve data quality across multiple data sources. * Monitor large datasets to identify data inconsistencies, anomalies, duplicates, and integrity issues, and perform root cause analysis. * Collaborate with data scientists, business analysts, database developers, and business stakeholders to understand data requirements and improve data collection processes. * Analyze complex datasets using SQL to identify trends, quality issues, and data discrepancies. * Support ETL processes, data modeling, and data integration activities to ensure accurate movement and transformation of enterprise data. * Develop and maintain reports, dashboards, and data quality metrics using Business Objects or similar reporting tools. * Participate in data governance, master data management (MDM), and compliance initiatives to improve enterprise data quality. * Identify opportunities for process improvements and recommend solutions to enhance data accuracy, consistency, and operational efficiency. * Document data quality findings, corrective actions, and best practices while communicating results to management and business stakeholders. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [JavaScript? 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