Analytics Automation Engineer (AI)

TL;DR

Analytics Automation Engineer (AI): Automating testing for analytics tracking on Mobile Apps and Connected TVs with an accent on GenAI integration and automation framework enhancement. Focus on building agentic frameworks, utilizing LLMs for script optimization, and solving complex data validation challenges.

What you will do

• Automate analytics tracking testing for Mobile Apps and Connected TVs using Selenium and Appium.
• Develop and enhance test automation frameworks with a focus on data collection and validation capabilities.
• Integrate GenAI (LLMs like Claude, Cursor AI) to refactor scripts, implement self-healing, and optimize failure RCA.
• Build and extend agentic automation frameworks to assist in test generation, execution, and maintenance workflows.
• Mentor QA engineers on automation best practices and conduct peer reviews of test scripts.
• Collaborate with cross-functional teams to identify and resolve analytics tracking gaps and technical issues.

Requirements

• Bachelor's degree in Computer Science or a related field.
• Minimum 5 years of experience in software development.
• Proficiency in programming languages such as Java, JavaScript, or Python.
• Experience with test planning, execution, and automation within an Agile environment.
• Hands-on experience with Docker for containerizing AI utilities and CI/CD integration.
• Experience using proxying tools like Charles, Wireshark, or Chrome DevTools.

Nice to have

• Experience with QA in mobile applications, CTV, and Native platforms (ADB/Xcode).
• Experience testing OTT applications.
• Knowledge of tag management tools (e.g., Tealium, Adobe Launch).
• Experience working with analytics tools such as Adobe Analytics.