We're looking for a Lead Web & Digital Analyst to take on the role of Digital Analytics SME / Technical Analytics Lead, overseeing web and mobile analytics operations across enterprise platforms. This position centers on advanced analytics implementation, data engineering, AI-driven automation, and stakeholder reporting to enable data-driven decisions throughout the organization.
Responsibilities
Administer and implement GA4 at the enterprise level, covering event design, reporting, attribution, and audience creation
Manage and configure Google Tag Manager (Web & Server-Side) with Consent Mode v2 and privacy-first measurement approaches
Set up cross-domain and cross-platform tracking, along with UTM governance for marketing campaigns
Build mobile analytics instrumentation using Firebase Analytics and Crashlytics, covering app release validation and analytics QA
Architect data layer design and construct web and mobile analytics tagging using JavaScript
Develop and refine data pipelines and BigQuery solutions on Google Cloud Platform
Build executive dashboards and self-service analytics tools using Power BI and Looker Studio
Create KPI frameworks and turn data into clear narratives for stakeholders
Use Claude Code and Microsoft Copilot Studio to automate analytics processes and develop AI agents for self-service insights
Contribute to digital marketing measurement efforts, including SEO, paid media, attribution modeling, and conversion rate optimization
Oversee Jira workflows and Confluence documentation within Agile/Scrum delivery environments
Maintain compliance with GDPR/LGPD standards while supporting consent management, data governance, and audit activities
Requirements
9-14 years of combined experience in digital and web analytics positions
Strong command of Google Analytics 4, Google Tag Manager, and Firebase Analytics for implementing web and mobile tracking
Advanced skills in Google Cloud Platform, BigQuery, and SQL for data engineering and warehousing tasks
Capability in Power BI and Looker Studio for building visualizations and executive-level reports
Understanding of Anthropic Claude Code and Microsoft Copilot Studio for automating analytics through AI
Exposure to prompt engineering, AI-assisted SQL generation, and Retrieval-Augmented Generation concepts applied to analytics
Experience with Android and iOS SDK implementation, deep linking, and designing mobile event taxonomies
Solid grasp of attribution modeling, customer journey analytics, and A/B testing approaches
Proficiency with Jira, Confluence, and Agile/Scrum delivery methods
Credentials in GDPR/LGPD compliance and consent management platforms, with OneTrust experience preferred
Nice to have
Experience with Adobe Analytics and Tealium or similar tag management systems
Exposure to AppTweak and Adjust MMP or comparable mobile measurement platforms
Ability to use Python for automating analytics tasks and Power Automate
Understanding of Git/GitHub for version control
Experience with A/B testing tools such as Optimizely and VWO
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