The QA Engineer will have demonstrable experience of: 

Inspecting/validating Adobe Analytics and Google Analytics traffic on various device-OS-browser combinations 

Adobe Analytics eCommerce concepts  

Google Analytics and GA3 concepts 

Basic JavaScript 

Web Developer Tools 

Responsibilities 

Develop the QA & automation practices and strategies for our software development teams 

Develop and maintain automated test scripts using Robot Framework and Python.  

Write tools and libraries which can be used by other QA/DevOps engineers 

In collaboration with the agile teams set the guidelines and requirements on the test practices in the development process 

Building a path for successful cooperation between testers of different levels 

Controlling and managing difficulties that arise in different projects during testing related activities. 

Provide operational support, troubleshoot issues, and analyse processes to propose strategic improvements that enhance our analytics capabilities. 

Stay up-to-date with the latest digital trends and technologies to keep our analytics tools at the forefront of the industry. 

Requirements 

Bachelor's degree in Computer Science, Information Systems, or a related field. 

Strong exposure with test frameworks  

Ability to effectively articulate technical challenges and solutions. 

Deal well with ambiguous/undefined problems; ability to think abstractly.  

Coding experience with automation framework, tools and services for web. 

Experience in API testing.  

Understanding of QA methodologies, life cycle and processes.  

Some experience with Adobe Analytics tools, particularly Adobe Launch and Adobe Web Analytics, is preferred but not required. 

Strong analytical and problem-solving skills to effectively interpret data and drive strategic improvements. 

Excellent communication abilities to work collaboratively with cross-functional teams and articulate complex concepts to non-technical audiences. 

A motivated and proactive learner, eager to stay updated on the latest digital trends and technologies and apply that knowledge to our analytics capabilities.