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# Quality Analyst (Data-focused)

- **Company:** Procom
- **Location:** Waterloo, CA, United States
- **Salary:** $117,000.0 - $156,000.0
- **Contract:** Contract
- **Skills:** Application Testing, JIRA, Automation of Tests, Microsoft Azure, Databases, Data Validation, Data Integrity, Extract Transform Load (ETL), Data Stores, JSON, Power BI, SQL Databases, Systems Integration, Azure Synapse Analytics, Data Pipelines
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cec0cbfbdd38d583

## About the Role

Do you have experience in Test Planning (Quality assurance practices)?, * Proficiency in SQL and Azure Synapse

 * Knowledge of JSON file format
 * Experience with Power BI
 * Excellent documentation and communication skills
 * Experience with creating and reviewing test plans with stakeholders
 * Strong understanding of the QA lifecycle
 * Ability to address blocks/defects with PM/Developers

Quality Analyst - Nice-to-Have Skills:

 * Experience with Azure DevOps or JIRA
 * Familiarity with regulatory, compliance, and control requirements
 * Experience with data privacy and security standards
 * Technical guidance and mentoring skills
 * Continuous quality improvement initiatives

## Description

The Quality Analyst will be involved in designing, developing, and executing test strategies and plans to support a platform upgrade. The role involves ensuring data accuracy and integrity across systems and providing quality-focused input throughout the delivery lifecycle.

Quality Analyst - Responsibilities:

 * Design, develop, and execute ETL and application test strategies, test plans, and detailed test cases based on business requirements, user stories, and technical design documents.
 * Perform end-to-end data and application testing, including data validation, data completeness, data integrity, transformation logic verification, and reconciliation between source and target systems.
 * Execute SQL-based validations to ensure accuracy and consistency of data across databases, data stores, and reporting layers.
 * Validate data pipelines and integrations using modern platforms and tools (e.g., Azure-based services), covering functional, system integration, regression, smoke, and sanity testing.
 * Develop and execute automated test scripts for data and application validation, including reusable checks for record counts, column-level validation, data types, and transformation rules.
 * Identify, log, track, and manage defects using Azure DevOps or JIRA, ensuring timely retesting, verification, and closure.
 * Support UAT and production validation activities, including investigation and resolution of production support tickets in collaboration with business and technology partners.


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