Analytics QA Engineer

TL;DR

Analytics QA Engineer (Streaming Analytics): Bring together test requirements, complete test plans, and perform testing on Web, Connected TV, and Native App platforms to ensure analytics implementations yield complete and accurate data with an accent on data integrity, tracking gaps, and regression audits. Focus on developing test cases with GenAI tools, conducting QA cycles, prioritizing tickets, and collaborating with product and engineering teams on sprint planning and bug triage.

Location: Hybrid Remote

Company

Paramount Streaming is a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global featuring original series, hit shows, movies, live sports, and news.

What you will do

• Develop test plans and perform testing on analytics implementations across Web, Connected TV, and Native App platforms.
• Conduct regression testing, data audits, and integrity checks on deployed tags.
• Identify tracking gaps and inconsistencies through QA cycles.
• Deliver test builds to collaborators and vendors, prioritize tickets, and shepherd bugs to resolution.
• Use GenAI tools like Claude to rewrite, enrich, and generate test cases from user stories, including edge cases.
• Represent the team in meetings, participate in sprint planning, and maintain a library of test cases.

Requirements

• 5+ years in Software Quality Assurance or Measurement Quality Assurance.
• Bachelor's degree in technical/quantitative field or equivalent experience.
• Knowledge of QA test plans, automation strategies for data/analytics, bug writing, and tools like Charles Proxy, Wireshark, Chrome DevTools.
• Experience with QA on mobile apps, CTV, and Native platforms; Agile/Scrum, JIRA, Confluence.
• Good knowledge of GenAI tools; basic familiarity with Docker.
• Curiosity about measurement tools like Adobe Analytics, Comscore, Nielsen.

Nice to have

• STEM undergraduate degree.
• Testing experience with debugging tools like ADB/Xcode.
• Knowledge of release and regression testing.

Culture & Benefits

• Dynamic, fast-paced environment in Data Insights Group driving business and product decisions.
• Thrive in entertainment-focused team passionate about data quality.