Web Analyst

Web Analyst

Our client is seeking a Web Analyst to elevate our data-driven decision-making across our Shopify ecosystem. This role will own the end-to-end analytics infrastructure — ensuring clean, accurate data collection through Google Tag Manager (GTM) and Google Analytics 4 (GA4) — and will deliver actionable insights that fuel growth, optimize user journeys, and improve conversion performance.

You'll collaborate closely with ecommerce, development, and marketing teams to maintain a robust analytics setup, identify behavioral trends, and support business-critical reporting in Looker Studio and other data visualization tools.

Key Responsibilities

Analytics Implementation & Management

• Audit, implement, and maintain all GA4 and GTM configurations for our Shopify storefront and app experiences.
• Ensure accurate tracking of key ecommerce events, funnels, and conversion actions across web and mobile.
• Create and manage advanced tagging strategies (custom HTML tags, triggers, and variables) for marketing pixels and dataLayer integrations.
• Troubleshoot and QA data tracking issues across Shopify themes, apps, and integrations.

Data Analysis & Reporting

• Translate user behavior data into insights that drive CRO, merchandising, and marketing decisions.
• Build and maintain dashboards in Looker Studio (or Looker) for performance monitoring and executive reporting.
• Partner with ecommerce and marketing teams to measure the impact of campaigns, promotions, and site changes.
• Conduct ad hoc analyses on customer journeys, conversion funnels, and attribution paths.

Auditing & Data Quality

• Lead comprehensive GA4 and GTM audits, identifying gaps, redundancies, and misconfigurations.
• Ensure data consistency between GA4, Shopify, and marketing platforms (Meta, Google Ads, TikTok, Klaviyo, etc.).
• Document and standardize all tracking frameworks for cross-functional visibility.

Cross-Functional Collaboration

• Collaborate with developers to implement technical tracking requirements.
• Work with CRO and Product teams to test hypotheses using clean and validated data.
• Support advanced analytics initiatives, including user segmentation, predictive modeling, and LTV analysis.