Lead Web & Digital Analyst

We are seeking a Lead Web & Digital Analyst to serve as a Digital Analytics SME / Technical Analytics Lead driving web and mobile analytics operations across enterprise platforms. This role focuses on advanced analytics implementation data engineering AI-powered automation and stakeholder-facing reporting to support data-driven decision-making across the organization.

• Implement and administer GA4 at an enterprise level including event design reporting attribution and audience creation
• Configure and manage Google Tag Manager (Web & Server-Side) with Consent Mode v2 and privacy-first measurement practices
• Establish cross-domain and cross-platform tracking along with UTM governance for marketing campaigns
• Develop mobile analytics instrumentation using Firebase Analytics and Crashlytics including app release validation and analytics QA
• Design data layer architecture and build web and mobile analytics tagging using JavaScript
• Build and optimize data pipelines and BigQuery solutions on Google Cloud Platform
• Create executive dashboards and self-service analytics solutions using Power BI and Looker Studio
• Develop KPI frameworks and translate data into clear stakeholder narratives
• Apply Claude Code and Microsoft Copilot Studio to automate analytics workflows and build AI agents for self-service insights
• Support digital marketing measurement including SEO paid media attribution modeling and conversion rate optimization
• Manage Jira workflows and Confluence documentation within Agile/Scrum delivery frameworks
• Ensure compliance with GDPR/LGPD standards and support consent management data governance and audit processes

• 9-14 years of overall experience in digital and web analytics roles
• Proficiency in Google Analytics 4 Google Tag Manager and Firebase Analytics for web and mobile tracking implementation
• Expertise in Google Cloud Platform BigQuery and SQL for data engineering and warehousing
• Skills in Power BI and Looker Studio for data visualization and executive reporting
• Knowledge of Anthropic Claude Code and Microsoft Copilot Studio for AI-driven analytics automation
• Familiarity with prompt engineering AI-assisted SQL generation and Retrieval-Augmented Generation concepts for analytics use cases
• Background in Android and iOS SDK implementation deep linking and mobile event taxonomy design
• Understanding of attribution modeling customer journey analytics and A/B testing methodologies
• Competency in Jira Confluence and Agile/Scrum delivery practices
• Qualifications in GDPR/LGPD compliance and consent management platforms with OneTrust preferred

• Background in Adobe Analytics and Tealium or other tag management systems
• Familiarity with AppTweak and Adjust MMP or equivalent mobile measurement platforms
• Skills in Python for analytics automation and Power Automate
• Knowledge of Git/GitHub version control
• Familiarity with A/B testing platforms such as Optimizely and VWO