Sierra Business Solution LLC

Compensation

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Raritan NJ Job Description: >> The Data Quality Analyst will play a critical role in ensuring the accuracy, consistency, and reliability of enterprise data across multiple platforms. >> This position focuses on validating and reconciling data, monitoring quality through automated checks and dashboards, and investigating discrepancies to identify root causes. >> The analyst will work closely with engineering and business process teams to define data quality standards, document data flows, and assess the impact of issues on reporting and analytics. >> Leveraging tools such as Microsoft SQL Server, Azure Data Factory, Microsoft Fabric, and Power BI, the role emphasizes continuous improvement, automation, and governance to maintain high data integrity and support informed decision-making. Requirements: >> 5+ years of experience in BI, Data Analysis, or related roles, including experience with data integration, transformation, and visualization >> Strong SQL (TSQL) skills for data validation, reconciliation, and automation in SQL Server. >> Handson experience with Azure Data Factory for building and testing ETL pipelines. >> Familiarity with Microsoft Fabric (Data Pipelines, Lakehouse, Dataflows Gen2) and its impact on data quality. >> Proficiency in Power BI for creating dashboards to monitor anomalies and data quality metrics. >> Ability to define and enforce data quality standards (formats, completeness, accuracy). >> Skilled in rootcause analysis and impact assessment for data issues across systems. >> Experience with automated validation scripts (SQL Python or PowerShell preferred). >> Strong documentation skills for data flows, dependencies, and quality checks. >> Knowledge of data governance principles and continuous improvement practices. >> Excellent collaboration and communication skills to work with engineering and business teams. >> Strong problem-solving skills and ability to troubleshoot technical issues related to GenAI, Copilot, and Microsoft Fabric. >> Bachelor s degree in Computer Science, Data Engineering, or related field.