1 месяц назад
Analytics QA Engineer
50$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics QA Engineer (Data Analytics/GenAI): Testing analytics implementations across web, connected TV, and native app platforms to ensure complete and accurate tracking data with an accent on regression testing, data audits, and measurement quality. Focus on designing AI-assisted test cases, validating tracking workflows with debugging tools, and coordinating defect resolution through Agile release cycles.
Location: Hybrid in Mexico City at Paseo de la Reforma 250, Col. Juárez, Cuauhtémoc, Ciudad de México 06600
Rate: Up to $50 USD/hour
Company
is providing quality engineering services for Paramount Streaming, a digital subscription video-on-demand and live streaming service.
What you will do
- Build test requirements, test plans, and test cases for analytics implementations across web, connected TV, and native app platforms.
- Perform regression testing, data integrity checks, QA cycles, and audits to identify tracking gaps and inconsistencies.
- Validate new and updated implementations, provide QA sign-off, prioritize tickets, and track blockers through resolution.
- Document QA steps and expected outputs across tracking devices and maintain test coverage for current and new features.
- Use GenAI tools to enrich manual test cases, generate functional and negative scenarios, and suggest test data.
- Collaborate with product, engineering, Scrum, product, and vendor teams on sprint planning, bug triage, and release timelines.
Requirements
- At least 5 years of experience in software quality assurance or measurement quality assurance.
- Bachelor's degree in a technical or quantitative field, or equivalent QA experience in lieu of a degree.
- Knowledge of QA test plans, testing strategies, and test automation, preferably for data or analytics products.
- Experience testing mobile applications, connected TV, and native platforms using tools such as ADB and Xcode.
- Ability to monitor network traffic with Charles Proxy, Wireshark, and Chrome DevTools; familiarity with Jira, Confluence, and Agile/Scrum.
- Strong GenAI knowledge, attention to detail, and ability to maintain accurate QA documentation and data integrity.
Nice to have
- STEM undergraduate degree.
- Familiarity with measurement tools such as Adobe Analytics, Comscore, or Nielsen.
- Basic Docker knowledge for running and validating AI utilities or test tooling in containers.
- Familiarity with Agentic AI frameworks and RAG concepts for grounding test outputs in project context.
Culture & Benefits
- Hybrid work model in Mexico City.
- Work in a fast-paced streaming and entertainment environment.
- Opportunity to apply AI tools to test design, scenario generation, and QA workflows.
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