eCommerce Web Analyst

We’re looking for an eCommerce Web Analyst to join our expanding Web Analytics team.

In this role, you’ll support the web analytics and experimentation function by identifying business challenges and uncovering data-driven solutions across the eCommerce landscape. You’ll work with data from multiple sources, using methods that range from simple aggregation to advanced statistical analysis. Your responsibilities will include designing and delivering clear, actionable insights, creating strategic recommendations, and supporting the implementation and optimization of those solutions across the organization and with clients.

ESSENTIAL DUTIES AND RESPONSIBILITIES :

• Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation to advanced statistical & predictive methods such as multi-variate regression, A / B testing, qualitative analytics, and more.
• Work with other analytics team members to understand business goals and sales & marketing initiatives to create analytical reports, insights, and plans that drive provable, incremental results.
• Analyze online user behavior across multiple tech stacks to track customer journeys
• Utilize existing GA360, GA4, Optimizely, and PowerBI tools to identify and execute on optimization opportunities
• Fully understand and make recommendations for analytics development through Google Tag Manager or other tagging platforms
• Understand and report behavioral data and analytics from multiple digital platforms, including email marketing and social media tools
• Interpret eCommerce funnel data into actionable insights that can be used to improve conversions
• Document and Maintain A / B test learnings, feature performance, and critical product release milestones
• Communicate directly with the stakeholders by creating analytics reports and analyses to be delivered to senior and executive management
• Interact with product, business analysis, UX, and technical team members to analyze requirements and develop technical design specifications for performance tracking
• Answer specific business questions by interpreting complex data, modeling using statistical techniques, validating results, and communicating to senior management
• Devise and assess procedures and methods for data collection at a test, feature, and integration level
• Locate and define new process improvement opportunities
• Troubleshoot complex issues and make recommendations to improve efficiency and accuracy
• Provide guidance and mentoring to other team members

EDUCATION AND / OR EXPERIENCE :

Language Skills

Mathematical Skills