Software Test Engineer
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Adobe A/B Testing Snr Developer
Job Description:
Key Responsibilities:
Lead A/B Testing Strategy: Develop, implement, and manage A/B and multivariate testing strategies to optimize user experiences across web and mobile platforms.
Adobe Target Management: Utilize Adobe Target to design, execute, and analyze A/B tests, ensuring the delivery of statistically significant and actionable insights.
Collaborate with Cross-Functional Teams: Work closely with marketing, product, UX/UI, and analytics teams to identify testing opportunities, define hypotheses, and prioritize tests based on business goals.
Data Analysis and Reporting: Analyze test results using Adobe Analytics and other tools, providing comprehensive reports and insights to stakeholders. Translate data into actionable recommendations.
Continuous Improvement: Continuously refine testing processes and methodologies to improve the efficiency and effectiveness of the optimization program.
Stakeholder Communication: Present findings and recommendations to senior leadership and other key stakeholders, ensuring alignment on strategies and next steps.
Mentorship: Mentor and guide junior team members in best practices for A/B testing, data analysis, and optimization techniques.
Technical Skill Set:
Adobe Target:
Advanced proficiency in designing, implementing, and analyzing A/B and multivariate tests.
Experience with personalization and segmentation using Adobe Target.
Adobe Analytics:
- Expertise in using Adobe Analytics for tracking, analyzing, and reporting on user behavior and test outcomes.
- Ability to create custom reports and dashboards.
Adobe Experience Cloud:
- Familiarity with other tools within the Adobe Experience Cloud suite (e.g., Adobe Audience Manager, Adobe Experience Manager).
Data Analysis Tools:
- Proficiency in using data analysis and visualization tools like Excel, Tableau, or Power BI for deriving actionable insights from test data.
Front-End Development:
- Working knowledge of HTML, CSS, and JavaScript for understanding and troubleshooting test implementations.
- Familiarity with debugging tools and techniques for troubleshooting issues in test variations.
Other Testing Platforms:
- Experience with other A/B testing tools (e.g., Google Optimize, Optimizely) is a plus.
Statistical Analysis:
- Strong understanding of statistical methods and significance testing to ensure robust test results.
- Ability to use statistical tools or libraries for deeper analysis (e.g., R, Python, or SQL).
Project Management Tools:
- Experience with project management and collaboration tools such as JIRA, Trello, or Asana for managing testing workflows and cross-team collaboration.
Web Analytics:
- Understanding of web analytics, conversion rate optimization (CRO) principles, and key performance indicators (KPIs) relevant to digital marketing.
Tag Management Systems:
- Familiarity with tag management systems (e.g., Adobe Launch, Google Tag Manager) to deploy and manage tracking pixels and scripts.
Version Control Systems:
- Basic knowledge of version control systems (e.g., Git) for managing code related to test implementations.