Quality Assurance/Quality Control Specialist – Data Analytics & Business Intell
New
I
ITnovaData analytics, business intelligence
Location: Jersey City, NJ/NYC, Mon – Fri, 9:00 am – 5:00 pm ESTFull-Time
Salary not disclosed
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Job Details
- Required Skills
- SQLMicrosoft AzureMicrosoft Power BIMicrosoft SQL ServerQuality Assurance
Requirements
- Demonstrated experience in quality assurance, software testing, data validation, or data quality management.
- Experience developing and executing test cases and documenting test results.
- Experience validating data accuracy, completeness, consistency, and integrity.
- Experience with relational databases and Microsoft SQL Server.
- Working knowledge of SQL for data validation, reconciliation, and investigation of discrepancies.
- Experience identifying, documenting, tracking, and verifying the resolution of defects.
- Experience supporting user acceptance testing (UAT) and coordinating with technical teams.
- Ability to verify dashboards, reports, and data outputs against documented business requirements.
- A bachelor's degree in Information Technology, Computer Science, Data Analytics, or a related field is preferred.
- Preferred experience testing cloud-based data warehouses or enterprise data integration platforms.
- Preferred experience with Azure Synapse Analytics, Azure Data Factory, Azure SQL, Databricks, and Power BI.
- Preferred experience with automated data quality checks, Azure DevOps or similar tools, and Agile development.
Responsibilities
- Validate data loaded into the Aviation Data Analytics Warehouse (ADAW) against source systems.
- Develop, maintain, and execute automated data quality checks and validation processes.
- Monitor data quality dashboards and automated alerts for anomalies, inconsistencies, and missing data.
- Investigate data quality issues, identify potential root causes, and coordinate resolution with the data engineering team.
- Validate dashboards and reports to confirm calculations, data fields, and outputs align with business requirements.
- Develop and execute test cases, test scenarios, and validation procedures for data pipelines and reporting solutions.
- Support user acceptance testing (UAT) by preparing test scenarios, documenting results, and tracking defects.
- Verify identified issues are resolved before solutions are released to business users and subject matter experts.
- Maintain test documentation, defect logs, data validation results, and quality assurance records.
- Collaborate with the Data Engineer, Cloud Architecture/Team Lead, and Program Manager on platform releases and continuous improvement.
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