Software Test Engineer

 

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.