Web Data Analyst; Mid–Senior Level

We are seeking a highly analytical and business-focused Web Data Analyst to drive insights across our digital ecosystem.

This is a high-impact, cross-functional role partnering closely with E-Commerce, Marketing, Product, and Technology teams, operating within a modern digital stack including Bloomreach Discovery, Adobe Commerce, GA4, and enterprise BI platforms.

• Dental insurance
• Health insurance
• Paid time off
• Training & development
• Vision insurance

• Own end-to-end web analytics governance, tracking accuracy, and KPI reporting.
• Monitor and analyze key metrics including Conversion Rate (CVR), Average Order Value (AOV), revenue performance, funnel drop-offs, and session quality.
• Identify trends, diagnose performance shifts, and deliver executive-ready insights with clear business narratives.
• Partner with Product and E-Commerce teams to design, measure, and interpret A/B tests and personalization initiatives.
• Quantify impact of digital enhancements and recommend data-driven optimizations.
• Manage GA4 implementation, governance, and event tracking strategy.
• Oversee Google Tag Manager (GTM) operations including:
  • Updating triggers and variables
  • Publishing across environments
  • Deploying and editing marketing pixels
  • Implementing analytics and marketing tracking solutions
• Ensure tracking accuracy across marketing and product initiatives.

• Support GA4 to Big Query exports including monitoring data transfers and basic SQL troubleshooting.
• Maintain clean dataset organization and assist in resolving data discrepancies.
• Configure and maintain analytics and marketing tools including:

• Develop deep insights into distinct customer segments (trade professionals, designers, homeowners).
• Analyze site search behavior, personalization performance, and campaign effectiveness.
• Create and upload customer audience lists to paid media platforms.

• 4–6 years of experience in web or digital analytics, preferably in premium e-commerce or multi-channel retail.
• Strong proficiency in SQL.
• Hands-on expertise with GA4 and Google Tag Manager.
• Experience with BI tools such as Looker or Power BI.
• Working knowledge of A/B testing platforms.
• Experience managing GA4–Big Query integrations.
• Strong understanding of tag governance and marketing pixel deployment.

Flexible work from home options available.