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EPAM Systems is seeking a senior digital analytics professional to implement GA4 across enterprise platforms, design data layers, and build robust data pipelines on Google Cloud. You will manage GTM, cross-domain tracking, and mobile analytics with Firebase, while creating executive dashboards in Power BI and Looker Studio.
You will translate complex data into actionable insights, contribute to attribution modeling, A/B testing, and AI-driven analytics automation, and ensure GDPR/LGPD compliance
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
5-9 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