Analytics QA Engineer (AI)

TL;DR

Analytics QA Engineer (AI): Ensuring data integrity and accurate analytics implementation across web, mobile, and CTV platforms with an accent on tracking audits, regression testing, and AI-driven test case generation. Focus on leveraging GenAI tools and RAG concepts to optimize test workflows, improve coverage, and maintain high-quality data standards for streaming services.

Location: Hybrid (Mexico City, Mexico)

Salary: Up to $50/hr

Company

hirify.global is a global technology consulting and digital solutions company.

What you will do

• Perform testing and audits on web, mobile, and CTV platforms to ensure accurate analytics implementation.
• Conduct regular regression testing and data integrity checks to control tracking tags.
• Identify tracking gaps and inconsistencies through systematic QA cycles.
• Utilize GenAI tools to generate functional test cases, enrich manual test coverage, and improve scenario reusability.
• Collaborate with product and engineering teams in sprint planning and bug triage.
• Document QA steps and shepherd bugs through to resolution.

Requirements

• 5+ years of experience in Software Quality Assurance or Measurement Quality Assurance.
• Strong knowledge of QA test plans, strategies, and bug tracking tools like JIRA.
• Experience monitoring network traffic using tools such as Charles Proxy, Wireshark, or Chrome DevTools.
• Hands-on experience with GenAI tools for test design and scenario generation.
• Familiarity with Docker for running and validating test utilities.
• Experience with mobile, CTV, or native platform testing.

Nice to have

• STEM undergraduate degree.
• Knowledge of measurement tools such as Adobe Analytics, Comscore, or Nielsen.
• Experience with debugging tools like ADB or Xcode.

Culture & Benefits

• Opportunity to work on high-scale streaming products for major global brands.
• Engagement with cutting-edge AI-driven QA workflows and agentic frameworks.
• Collaborative environment working within Agile/Scrum methodologies.