Analytics QA Engineer (GenAI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Analytics QA Engineer (GenAI): Testing analytics implementations on Web, Connected TV, and Native App platforms with an accent on data integrity and GenAI-driven test optimization. Focus on identifying tracking gaps, performing data audits, and leveraging Agentic AI frameworks to enrich test coverage.
Location: Hybrid (Mexico City)
Salary: Up to $50/hr (~$8,000/month)
Company
provides technology services for global clients, currently supporting the Paramount Streaming Data Insights Group.
What you will do
- Develop and execute test plans for analytics implementations across Web, CTV, and Native App platforms.
- Perform regular regression testing and data audits to ensure tracking accuracy and identify gaps.
- Use GenAI tools (e.g., Claude) to rewrite, enrich, and generate functional test cases from user stories.
- Monitor network traffic using proxy tools like Charles Proxy, Wireshark, and Chrome DevTools to verify data payloads.
- Collaborate with SCRUM and Product leads to manage release timelines, prioritize tickets, and perform bug triage.
- Maintain a robust library of test cases for new and existing features across all streaming platforms.
Requirements
- 5+ years of experience in Software Quality Assurance or Measurement Quality Assurance.
- Must be based in Mexico City for hybrid work.
- Proficiency with network proxying tools such as Charles Proxy, Wireshark, or Chrome DevTools.
- Hands-on experience testing mobile applications and Connected TV (CTV) platforms.
- Strong knowledge of GenAI and AI tools for test design and scenario generation.
- Bachelor's degree in a technical or quantitative oriented field.
Nice to have
- Knowledge of measurement tools such as Adobe Analytics, Comscore, or Nielsen.
- Experience using ADB or Xcode for debugging on mobile/CTV platforms.
- Basic familiarity with Docker for running AI utilities or test tooling.
Culture & Benefits
- Opportunity to work with world-renowned entertainment brands from Paramount Global.
- Dynamic and fast-paced environment within a specialized Data Insights Group.
- Focus on cutting-edge AI integration (RAG concepts, Agentic AI) within the QA workflow.
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