Senior QA Engineer, Mobile
MudflapSalary not specified
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries
Requirements
- At least 5 years of relevant technical experience
- Debugging Tools: Charles Proxy, AEP Assurance, or similar
- Mobile App Frameworks: iOS/Android
- Analytics Platforms: Google Analytics (GA4), Adobe Analytics, or similar
- Tagging Solutions: GTM (Google Tag Manager) or Adobe Launch
- Scripting: Python (with PyTest, BDD framework)
- Automation: Selenium, Appium
- Ability to interpret and troubleshoot analytics data
- Strong understanding of data layer design
- 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
- Detail-oriented and analytical mindset
- Expertise in debugging tools, mobile app analytics platforms, and strong analytical capabilities
Responsibilities
- 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
- Use tools like 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
- 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
- Maintain detailed QA test plans and documentation for analytics implementations
- Communicate findings, gaps, and improvements to stakeholders and recommend solutions
- 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
Skills
Charles Proxy
AEP Assurance
iOS
Android
Google Analytics
GA4
Adobe Analytics
Google Tag Manager
Adobe Launch
Python
PyTest
Selenium
Appium
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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