Full-Time Sr. QA Analyst, Data & BI

• Lead Development of Data-Centric Test Strategies: Design and implement comprehensive test plans, test cases, and test scripts targeting data integrity across raw datasets, transformed outputs, and BI visualizations.
• Coordinate End-to-End Data Testing Activities: Oversee functional, regression, integration, and performance testing with a focus on validating data accuracy, consistency, and reliability throughout the data pipeline.
• Manage Data Defect Lifecycle: Utilize industry-standard tools to track, analyze, and resolve data-related defects, ensuring timely remediation and continuous quality improvement.
• Cross-Functional Collaboration: Partner with data engineering, analytics, product, and business teams to align on data quality objectives and ensure accurate representation of business metrics.
• Mentor QA Analysts in Data Validation Best Practices: Provide guidance on effective testing methodologies for data validation, including techniques for verifying calculations, transformations, and visualizations.
• Contribute to Automated Data Testing Frameworks: Support the design and implementation of automated testing solutions to streamline validation of data pipelines, BI dashboards, and reporting outputs.
• Ensure Compliance with Data Quality Standards: Enforce adherence to internal and external data governance policies, regulatory requirements, and industry best practices.
• Participate in Data Requirements and Design Reviews: Evaluate data models, transformation logic, and reporting specifications to identify potential quality risks and recommend improvements.
• Drive Continuous Improvement in QA Processes: Enhance data testing workflows, tools, and documentation to improve efficiency, coverage, and accuracy in data quality assurance efforts.
• Lead QA teams and manage multiple testing initiatives
• Adapt to changing project requirements and priorities
• Other duties as assigned

• Bachelor’s degree in a business or IT discipline, or equivalent work experience (required)
• Five (5) years of experience in data validation, quality assurance, and BI testing including leadership responsibilities (required)
• Strong proficiency in SQL for data validation and querying across large datasets
• Experience with BI tools (e.g., Power BI, Tableau, Looker) for testing dashboards and visualizations
• Familiarity with ETL processes and data transformation pipelines
• Understanding of data modeling and relational database concepts
• Strong analytical and problem-solving skills
• Strong analytical skills with attention to detail and a passion for data accuracy
• Experience with PowerShell preferred

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