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We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

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.

Key Responsibilities:

Test Planning, Coordination, and Management:

- 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.

Web Application Testing:

- 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

BI & Reporting QA Testing and Validation:

- 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.