Analytics Automation Engineer

Type: Contract, per-project.
Location: Remote - within LATAM time zones (GMT-3 to GMT-5) - Remote with meetings across U.S. time zones
Availability: Contractor (40 hours per week)

Your Day-to-Day

• Collaborate with QA Engineers to prioritize and automate testing for tracking libraries and SDKs across Mobile Applications and Connected TV (CTV) platforms.

• Support the team in achieving established OKRs related to data quality through automation initiatives.

• Convert manual test cases into automated test scripts and enable self-service execution for the broader QA team.

• Partner with QA Engineers to design and support testing solutions that improve the efficiency and accuracy of streaming analytics validation.

• Collaborate with cross-functional teams to troubleshoot issues and resolve test failures related to analytics implementations.

• Contribute to tracking specifications and review, test, deploy, and maintain automated test suites to support high-quality analytics software delivery.

• Design and execute automated QA tests using both real and simulated devices.

• Analyze test results, document findings, and create detailed bug tickets in Jira.

Key Responsibilities

• Support automated testing efforts for analytics APIs that collect and process data across multiple platforms.

• Contribute to the continuous development and enhancement of test automation frameworks supporting data collection and validation capabilities.

• Automate test cases and conduct regular test script audits to identify tracking gaps, inconsistencies, and technical implementation issues.

• Mentor QA Engineers on adopting test automation as a primary testing approach and help them effectively use the automation framework.

• Serve as a key point of contact for test automation throughout the Software Development Life Cycle (SDLC), including peer reviews of test scripts.

GenAI Responsibilities

• Hands-on experience with Claude is mandatory, including rewriting and refactoring automation scripts to improve reliability, readability, and reduce duplication.

• Strong understanding of leveraging AI tools to enhance and optimize automation frameworks.

• Apply GenAI to improve automation frameworks through self-healing capabilities, maintenance optimization, and root cause analysis (RCA) support.

• Build and extend Agentic AI-driven automation frameworks where intelligent agents assist with test generation, execution support, and maintenance workflows.

• Implement RAG-based context grounding to ensure script generation and recommendations leverage requirements, test assets, and historical defect data.

• Hands-on experience with Docker for containerizing automation and AI utilities to ensure consistency across local and CI environments.

• Strong CI/CD mindset, ensuring automation frameworks are fully integrated into deployment pipelines and test management systems.

Qualifications

• 5+ years of software development experience and a Bachelor’s degree in Computer Science or a related field.

• Strong programming experience with languages such as JavaScript, Python, or Java.

• Ability to clearly communicate technical concepts to both technical and non-technical audiences.

• Strong communication, problem-solving, and critical-thinking skills.

• Experience in test planning, test execution, test automation, and acceptance testing within Agile environments.

• Strong advocate for continuous improvement and best practices in test automation and testing tools.

• Experience using proxy and network monitoring tools such as Charles Proxy, Wireshark, Chrome DevTools, and BrowserMob Proxy.