[8RSC] QA Analyst (SQL)

Software Mind Americas

About The Position

We're looking for a detail-oriented, analytical professional to join our team as a QA Analyst – Web, Reporting, & Data Warehouse. This position is responsible for ensuring the quality and integrity of data warehouse systems, data reports, and web applications. The right candidate will bring a strong understanding of QA methodologies, data validation, and web technologies, and will partner closely with software developers, data engineers, analysts, and business stakeholders.

Requirements

+90% English written and oral (at least B2+ level) with excellent communication skills
5+ years of QA experience, ideally spanning web, reporting, and data environments.
Strong SQL skills for validating and analyzing data.
Hands-on experience testing ETL processes and data pipelines.
Working knowledge of testing tools such as Postman or similar.
Experience validating reports using BI tools like Power BI.
Experience working in environments using Agile/Kanban practices.

Responsibilities

Own and maintain master test plans.
Partner with cross-functional teams, including software developers, analysts, and business stakeholders to align on testing priorities and efforts.
Oversee functional, regression, integration, and user acceptance testing (UAT) across data pipelines, reporting systems, and web applications.
Identify, log, and track defects, bugs, and data inconsistencies identified during testing, and work with development teams to resolve them in a timely manner.
Report on testing status, issues, and results to IT Project Managers and IT Leadership.
Review requirements and technical specs to build thorough test plans and test cases for web applications built on the .NET framework.
Conduct functional, regression, integration, and UAT testing across multiple platforms.
Test front-end web application functionality for usability, performance, and security.
Test and validate back-end functionality, data inputs/outputs, and UI elements for consistency and ease of use.
Validate the accuracy and completeness of data in BI dashboards and static/dynamic Power BI reports.
Validate that calculations, KPIs, and filters within reports align with source data specs.
Test data refresh cycles, report rendering, and scheduled report delivery.