Responsibilities

• Own the end-to-end GA4 360 measurement strategy: event taxonomy conversion definitions attribution logic and governance for lead generation journeys (including SPA measurement and cross-domain flows).
• Lead implementation and ongoing administration of GA4 360 across web properties including account/property configuration data streams key events audiences custom dimensions/metrics and channel grouping/traffic classification.
• Partner with Engineering/Product to implement and maintain Google Tag Manager (client-side) tagging standards data layer requirements and QA practices; create and manage a release/validation process for tracking changes.
• Maintain data quality by identifying and mitigating data integrity risks (bot/monitoring traffic self-referrals duplicate events misfires UTM/GCLID/MSCLKID handling cookie/consent impacts).
• Design and maintain reporting suites for executive leadership and channel teams (GA explorations Looker Studio and/or BI dashboards) with clear narratives drivers and recommended actions.
• Leverage GA4 360 exports/integrations (e.g. BigQuery export and data joins) to enable deeper funnel analysis cohort analysis and conversion/lead quality reporting when native UI is insufficient.
• Serve as Fullstory SME and platform owner: configure privacy settings/masking create and maintain funnels segments dashboards and alerts; provide actionable insights from session replay heatmaps and frustration signals.
• Translate Fullstory behavioral findings into prioritized CRO hypotheses and work with stakeholders to design measure and interpret A/B and multivariate tests (and/or personalization initiatives).
• Build standardized analysis templates: funnel diagnostics landing page performance form performance device/browser issue analysis and traffic quality investigations.
• Train and enable marketing and product partners on GA4 360 and Fullstory best practices data definitions and how to self-serve common insights.
• Stay current on privacy and measurement shifts (e.g. consent-aware measurement browser changes) and recommend practical solutions that preserve decision-grade data.