Mobile App Analytics Tagging QA Specialist

Job Responsibilities:

• Tagging QA and Validation:
Test and validate analytics tags for mobile apps to ensure accurate data collection and reporting
Verify tracking events, parameters, and payloads across various user journeys.
Develop and maintain automated test scripts for complex environments using Selenium, Python
• Debugging and Troubleshooting:
Use tools such as Charles Proxy and Adobe Experience Platform (AEP) Assurance to inspect network requests and debug data flows.
Identify and resolve issues related to analytics tagging and data discrepancies.
• Platform Expertise:
Collaborate with developers, analysts, and product teams to validate Google Analytics (GA4) or Adobe Analytics (Launch/Experience Cloud) implementations.
Work with tagging solutions like GTM (Google Tag Manager) or Adobe Launch.
Hands-on experience with PyTest, BDD framework, Appium, Python.
Experience working with Android emulators and iOS simulators.
Experience working with any cloud platform like SauceLabs, BrowserStack, or any equivalent tools.
Experience working with CICD tools like GitLabs, or any equivalent tools.
Experience working in Agile environments.
Expertise in cloud platforms like Jenkins, Azure, and GitLab, and experience integrating CI/CD pipelines.
• Documentation and Reporting:
Maintain detailed QA test plans and documentation for analytics implementations.
Communicate findings, gaps, and improvements to stakeholders and recommend solutions.
• Cross-Functional Collaboration:
Partner with engineering, marketing, and data teams to ensure tags are aligned with business and reporting requirements.
Conduct training or provide technical guidance to team members on analytics and debugging processes.

Basic Qualifications:

• Technical Skills:
At least 5 years of relevant technical experience.
Hands-on experience with debugging tools like Charles Proxy, AEP Assurance, or similar.
Familiarity with mobile app frameworks (iOS/Android) and understanding of mobile-specific analytics nuances.
Proficiency in analytics platforms like Google Analytics (GA4), Adobe Analytics, or similar.
• Analytical Skills:
Ability to interpret and troubleshoot analytics data to identify and resolve issues.
Strong understanding of data layer design, implementation workflows, and analytics KPIs.
A solid understanding of retail, e-commerce, and their related metrics.
• QA Expertise:
Experience in QA methodologies, manual testing, and using test automation for mobile apps (optional).
Attention to detail with a focus on ensuring data accuracy and consistency.
• Soft Skills:
Strong problem-solving skills and the ability to work in a fast-paced environment.
Excellent verbal and written communication skills for cross-team collaboration.

Preferred Qualifications:

• Familiarity with additional tools like Postman, Firebase, or AppDynamics.
• Knowledge of SQL for basic querying of analytics data.
• Experience with privacy and compliance standards like GDPR and CCPA in mobile analytics.